Mercor is seeking experienced Clinical Research and Survey Methodology Experts to support the development and refinement of physician-focused healthcare market research surveys. The ideal candidate combines deep clinical expertise in specific diseases or therapeutic areas with hands-on experience in healthcare market research, survey design, and questionnaire development. You will help ensure that surveys administered to healthcare professionals are clinically accurate, scientifically credible, appropriately structured, and relevant to real-world clinical practice. This is an opportunity for an ongoing collaboration across multiple therapeutic areas and research initiatives over the coming months.

Key Responsibilities

• Design, develop, and refine physician-facing surveys across various diseases and therapeutic areas.
• Review survey questions for clinical accuracy, medical relevance, clarity, and appropriateness for the intended physician audience.
• Translate complex clinical concepts and research objectives into well-structured, unbiased survey questions.
• Apply established market research methodologies to improve questionnaire design, response options, survey flow, and data quality.
• Evaluate surveys for clinical terminology, treatment pathways, diagnostic criteria, patient management practices, and therapeutic relevance.
• Collaborate with research teams to incorporate feedback and maintain consistency across survey projects.
• Provide expert recommendations to improve survey validity, physician engagement, and overall research quality.

Required Qualifications

• Advanced clinical or scientific degree: MD, DO, PhD, PharmD, or equivalent qualification in medicine, clinical research, or a closely related discipline.
• Clinical expertise: Strong understanding of specific diseases, therapeutic areas, treatment guidelines, and real-world clinical decision-making.
• Healthcare market research experience: Demonstrated experience designing, writing, reviewing, or validating healthcare professional (HCP) surveys.
• Survey methodology: Familiarity with questionnaire design, survey logic, response scales, question bias, and research best practices.
• Experience working with pharmaceutical companies, healthcare market research agencies, life sciences consulting firms, or clinical research organisations.
• Strong written communication skills and the ability to translate complex medical information into clear, actionable survey questions.

Preferred Qualifications

• 3+ years of experience in healthcare market research, clinical survey development, or related research activities.
• Previous experience developing surveys targeting physicians, specialists, or other healthcare professionals.
• Familiarity with platforms such as Qualtrics, Forsta, Decipher, Alchemer, or SurveyMonkey.
• Experience in therapeutic-area-specific market research, including treatment journeys, prescribing behaviour, clinical decision-making, and unmet medical needs.
• Experience supporting multiple research studies across different disease areas.

Why Join Mercor?

• Ongoing Collaboration: Opportunity to participate in multiple healthcare research projects over the coming months.
• Apply Your Expertise: Combine your clinical knowledge and research methodology experience to improve the quality of physician-focused surveys.
• Meaningful Research: Contribute to projects that help healthcare and life sciences organisations better understand clinical practices and physician perspectives.

Project Overview

We're looking for US-based individuals to participate in a paid AI research project involving data from commonly used mobile and web applications.

Participants will contribute data from 6–8 applications they actively use, such as Gmail, Google Calendar, Google Drive, YouTube, LinkedIn, PayPal, and other eligible apps.

The goal is to collect authentic, real-world application usage data to support AI research and development.

This is a one-time, remote opportunity. No technical background or previous experience is required.

What You'll Do

• Select 6–8 qualifying applications that you actively use.
• Download your existing account data using each application's built-in data export feature.
• Upload your exported data through the project's designated platform, PeakTalent.
• Follow the platform's guided data submission, redaction, and quality review process.
• Complete any necessary corrections or resubmissions to meet project requirements.
• Submit your completed dataset within the project timeline.

Participants must submit data from a minimum of 6 and a maximum of 8 eligible applications across the following categories

• Email (Mandatory – Exactly 1): Gmail, Outlook Mail
• Productivity: Google Drive, Google Tasks
• Communication: Google Calendar, Google Contacts, Outlook Calendar, Apple Calendar
• Social Media: LinkedIn, YouTube, X (Twitter), Pinterest, Discord, Telegram
• Finance: PayPal, Venmo, Cash App, Google Wallet/Google Pay, Wise
• Health & Fitness: Apple Health, Fitbit, Strava, Samsung Health
• Travel & Retail: DoorDash

Application Category Requirements

• Exactly 1 email application is mandatory.
• A maximum of 1 application may come from either Finance or Health & Fitness (not both).
• Up to 2 applications may be submitted from each remaining category.
• All submitted applications must contain authentic data from accounts you actively use.

Who We're Looking For

• Must be 18 years of age or older.
• Must currently reside in the United States.
• Must actively use at least 6 applications from the approved list.
• Should have established account history and regular activity across selected applications (approximately 1 year preferred, although shorter periods of frequent activity may qualify).
• Must be able to download data exports from their own application accounts.
• Must be comfortable securely submitting personal application data through the designated platform for AI research.
• Must be available to complete the submission process within the project timeline.

Compensation

Participants will receive a one-time payment based on the number of qualifying applications successfully submitted and approved:

• 6 approved applications: $350 USD
• 7 approved applications: $400 USD
• 8 approved applications: $450 USD

Payment is issued only after the complete submission receives Final Approval.

All applications included in the submission must meet the project's eligibility and quality requirements. Incomplete, duplicate, or rejected submissions are not eligible for payment.

Data Privacy & Submission Process

• All application data is submitted directly through PeakTalent, the project's designated platform.
• Uploaded data undergoes automated personally identifiable information (PII) redaction and quality checks.
• Contributors will receive instructions outlining the submission process, data handling, and consent requirements.
• No account passwords, login credentials, or direct account access are required.
• Contributors should only submit data from accounts they own and information they are authorized to share.

Project Timeline

This is a short-term project with a current submission deadline of October 16, 2026.

Participants are encouraged to apply and begin the submission process as soon as possible to allow sufficient time for data exports, uploads, and any necessary corrections.

How to Apply

If you're a US-based individual who actively uses multiple eligible applications and is interested in earning compensation for contributing to AI research, we encourage you to apply.

Selected participants will receive instructions for registration, application data exports, and completing their submissions through the project's platform.

Bring your clinical expertise to the evaluation of AI in dermatology. We're looking for US-based, practising dermatologists to review medical images and AI-generated clinical content for accuracy, safety and clinical usefulness.

What you'll do

• Review AI-generated dermatology content, including diagnoses, treatment plans and case summaries, for accuracy, safety and completeness.
• Use your dermatology expertise to evaluate medical images, assess image quality and identify likely skin conditions where appropriate.
• Provide structured feedback, confidence ratings and explanations to help researchers improve AI performance.

What you'll bring

• An MD, MBBS or equivalent medical qualification with specialization in dermatology.
• Full medical licensure and current practice as a dermatologist in the United States.
• 5+ years of post-residency experience practising dermatology.
• Strong visual attention to detail and comfort reviewing sensitive or graphic medical images.
• Confidence using web-based evaluation tools, image zoom controls, detailed guidelines and structured questionnaires.

Experience in medical content review, clinical research, annotation or AI evaluation is helpful, but not required.

Project details

• Expected project duration: 12 weeks, with the first onboarding expected September 24.
• Required availability: 20, 30 or 40 hours per week, including at least four hours of overlap with Pacific business hours. Work volume depends on project needs.
• Contractor engagement. Selection includes a profile review and assessment.
• Candidate pay: $130.00 per hour.

About Turing

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Role Overview

We are looking for a detail-oriented Business Analyst to support a project involving the evaluation of multiple chatbot responses. The role will require analyzing business requirements, comparing chatbot outputs, conducting structured evaluations, and providing final assessments based on defined criteria.

Key Responsibilities

• Gather, analyze, and document business requirements.
• Collaborate with stakeholders to understand business needs and objectives.
• Translate business requirements into clear functional specifications.
• Analyze workflows, processes, and data to identify gaps and improvement areas.
• Create reports, dashboards, process maps, and other documentation.
• Support project planning, testing, implementation, and user acceptance testing.
• Coordinate with technical and cross-functional teams to ensure successful delivery.
• Track project progress, risks, dependencies, and key performance indicators.
• Present insights and recommendations to stakeholders.

Required Qualifications and Skills

• Bachelor’s degree in Business Administration, Finance, Computer Science, or a related field.
• 2-3+ years of experience as a Business Analyst or in a similar role.
• Strong analytical, problem-solving, and communication skills.
• Proficiency in Excel, SQL, Power BI, Tableau, or similar tools.
• Experience with requirement-gathering and process-mapping techniques.
• Ability to work with cross-functional teams and manage multiple priorities.
• Strong attention to detail and documentation skills.
• Knowledge of Agile or Scrum methodologies is an advantage.

Perks of Freelancing With Turing

• Work at the forefront of AI applications in accounting and finance.
• Fully remote and flexible work environment.
• Opportunity to collaborate on high-impact projects with global reach.

Offer Details

• This is a project-based role involving a defined number of evaluation tasks.
• Each task will involve comparing multiple chatbots and providing a final assessment.
• Work Schedule: Five working days per week, including weekends as required, with two weekdays off.
• Duration: 16 weeks.

Interview Process

• Complete an interest check form (10 minutes)
• General aptitude test (60 minutes)

Advance frontier AI through research and engineering across synthetic and agentic data, reinforcement learning, post-training, model understanding, benchmarks and evaluation. You will investigate high-impact questions, build research-grade prototypes and help turn validated findings into scalable AI systems.

WHAT YOU WILL DO

• Investigate frontier-model capabilities, limitations and training methods, formulate research questions and explore new approaches.
• Build research datasets, experiments, prototypes, tooling and evaluation frameworks. Train, test and evaluate models using modern ML tools.
• Analyze results with scientific rigor, data quality, reproducibility and evidence-based interpretation. Iterate from hypotheses to validated insights.
• Collaborate across Research, Engineering, Product and Operations to translate findings into practical systems.
• Communicate findings through technical reports, publications, open-source work and research forums where appropriate. Contribute through peer review, mentorship and technical leadership.

WHAT YOU WILL BRING

• 7+ years of professional experience with significant research engineering experience in machine learning or frontier AI systems.
• A PhD or master’s degree in AI, machine learning, computer science or a closely related technical field, or exceptional equivalent research experience.
• Strong ML foundations and experience designing experiments, training or evaluating models, or developing AI systems.
• Research experience in at least one of synthetic or agentic data generation, reinforcement learning or post-training, model understanding, AI evaluation, benchmarks, or tool-using AI agents.
• Strong Python programming and experience implementing, testing and iterating with modern ML frameworks and tooling.
• Scientific judgment, rigorous reproducible methods and attention to data quality.
• Strong written and verbal communication, independent work and effective cross-functional collaboration.
• Experience mentoring engineers or researchers and providing technical leadership.

PROJECT DETAILS

Expected project length is three months, with an immediate start. Availability of at least 40 hours per week, 8 hours per day and four hours of daily Pacific Time overlap is required. Selection includes an approximately 20-minute client AI interview and a 45-60-minute technical delivery interview. Include your LinkedIn profile URL in your required resume.

Advance frontier AI through research and engineering across synthetic and agentic data, reinforcement learning, post-training, model understanding, benchmarks and evaluation. You will investigate high-impact questions, build research-grade prototypes and help turn validated findings into scalable AI systems.

WHAT YOU WILL DO

• Investigate frontier-model capabilities, limitations and training methods, formulate research questions and explore new approaches.
• Build research datasets, experiments, prototypes, tooling and evaluation frameworks. Train, test and evaluate models using modern ML tools.
• Analyze results with scientific rigor, data quality, reproducibility and evidence-based interpretation. Iterate from hypotheses to validated insights.
• Collaborate across Research, Engineering, Product and Operations to translate findings into practical systems.
• Communicate findings through technical reports, publications, open-source work and research forums where appropriate. Contribute through peer review, mentorship and technical leadership.

WHAT YOU WILL BRING

• 7+ years of professional experience with significant research engineering experience in machine learning or frontier AI systems.
• A PhD or master’s degree in AI, machine learning, computer science or a closely related technical field, or exceptional equivalent research experience.
• Strong ML foundations and experience designing experiments, training or evaluating models, or developing AI systems.
• Research experience in at least one of synthetic or agentic data generation, reinforcement learning or post-training, model understanding, AI evaluation, benchmarks, or tool-using AI agents.
• Strong Python programming and experience implementing, testing and iterating with modern ML frameworks and tooling.
• Scientific judgment, rigorous reproducible methods and attention to data quality.
• Strong written and verbal communication, independent work and effective cross-functional collaboration.
• Experience mentoring engineers or researchers and providing technical leadership.

PROJECT DETAILS

Expected project length is three months, with an immediate start. Availability of at least 40 hours per week, 8 hours per day and four hours of daily Pacific Time overlap is required. Selection includes an approximately 20-minute client AI interview and a 45-60-minute technical delivery interview. Include your LinkedIn profile URL in your required resume.

LOCATION AND COMPENSATION

This remote opportunity is open to candidates in the United States and Canada at $57 USD per hour.

Help a top AI lab evaluate and improve large language models through security-focused coding tasks. Bring your software-engineering judgment and hands-on security experience to work involving vulnerabilities, exploit verification and security patches.

This is a contracting engagement, with potential for a longer-term engagement. Remote candidates in the selected countries are elegible.

What you will do

• Evaluate coding tasks involving software vulnerabilities, exploit verification and security patches.
• Create high-quality coding prompts and reference answers for benchmark-style problems.
• Evaluate model outputs for code generation, refactoring, debugging and implementation.
• Identify and document model failures, edge cases and reasoning gaps.
• Compare private language models with leading external models.
• Build or configure coding environments for evaluation and reinforcement learning.
• Follow detailed annotation and evaluation guidelines consistently.

What you bring

• At least five years of professional software-development experience and strong Python skills.
• Hands-on experience with vulnerability research, exploit reproduction or verification, or implementing, backporting or validating security patches.
• The ability to apply structured evaluation criteria and write clear technical feedback.
• Fluency in written and spoken English.

Helpful, not required

• Professional code review, coding annotation, LLM/code evaluation or benchmark design.
• Knowledge of another programming language.
• Team leadership or mentoring experience.

Help a top AI lab evaluate and improve large language models through security-focused coding tasks. Bring your software-engineering judgment and hands-on security experience to work involving vulnerabilities, exploit verification and security patches.

This is a contracting engagement, with potential for a longer-term engagement. Remote candidates in the selected countries are elegible.

What you will do

• Evaluate coding tasks involving software vulnerabilities, exploit verification and security patches.
• Create high-quality coding prompts and reference answers for benchmark-style problems.
• Evaluate model outputs for code generation, refactoring, debugging and implementation.
• Identify and document model failures, edge cases and reasoning gaps.
• Compare private language models with leading external models.
• Build or configure coding environments for evaluation and reinforcement learning.
• Follow detailed annotation and evaluation guidelines consistently.

What you bring

• At least five years of professional software-development experience and strong Python skills.
• Hands-on experience with vulnerability research, exploit reproduction or verification, or implementing, backporting or validating security patches.
• The ability to apply structured evaluation criteria and write clear technical feedback.
• Fluency in written and spoken English.

Helpful, not required

• Professional code review, coding annotation, LLM/code evaluation or benchmark design.
• Knowledge of another programming language.
• Team leadership or mentoring experience.

Help evaluate how AI systems solve real scientific problems. In this short-term project, you will turn physics, chemistry, materials science or related research workflows into challenging, reproducible tasks that an AI agent must complete in a Linux terminal.

What you'll do

• Design multi-step tasks involving scientific modeling, simulations, quantitative analysis or computational experiments.
• Build working solutions and self-contained environments, prepare scientific inputs, and create automated tests for accurate and reproducible results.
• Debug calculations and dependencies, and document units, assumptions, numerical tolerances and scientific limitations.

What you'll bring

• A PhD, postdoctoral experience or equivalent advanced technical experience in a relevant physical-science discipline.
• Strong programming skills in Python, C/C++, Julia, Bash or another scientific programming language, plus experience working in Linux or terminal environments.
• Experience independently creating and validating scientific workflows, with an understanding of numerical precision, physical constraints and reproducibility.
• Benchmark design, research software, publications and open-source contributions are welcome but not required.

Project details

• Expected project length: five weeks.
• Availability: 40 hours per week, including four hours of overlap with Pacific working hours each day.
• Selection includes a short interest form, a 60-minute assessment and a final review with the team.

Compensation

• $300 per approved task.
• Tasks are estimated to take six to eight hours on average.

Help improve AI systems by reviewing and annotating education-focused content and conversations from the Gemini App. This remote freelance project is designed for students, recent graduates, and experienced contributors who already use Gemini for genuine learning or academic work.

What You’ll Do

• Analyze complex content, research questions, datasets, and logical problems.
• Verify claims using reliable online sources and summarize information clearly.
• Evaluate AI-generated responses, identify issues, and provide accurate corrections with concise explanations.
• Create analytical annotations and scenarios that help improve large language model quality.

Requirements

• An established Gemini App account with at least 10 genuine conversations about education, learning, academics, exam preparation, research, projects, or skill development. The account must already exist and have been used naturally before this project.
• Fluency in U.S. English, with strong reading, writing, comprehension, and communication skills.
• Strong research, analysis, logical reasoning, problem-solving, and response-evaluation ability.
• Ability to provide clear feedback and work independently in a remote environment.
• Students and freshers are welcome to apply.

Preferred Background

• Study or experience in engineering, literature, journalism, communications, arts, statistics, research, writing, editing, translation, or a related analytical field.
• Familiarity with spreadsheets, Google Workspace, basic arithmetic, and AI-assisted research tools.

Engagement Details

• Remote freelance AI-training and data-annotation project.
• Expected project duration of approximately 16 weeks.
• Full-time availability is required. Project volume may vary, and workload is not guaranteed.
• United States only.

Compensation

$20 USD per hour.

Candidates who submit the required JSON file and are hired will receive a one-time $50 payment.

Our client is seeking senior U.S. legal professionals for a short-term AI-training project creating challenging prompts and evaluations using multiple input files.

What You'll Do

• Build realistic, model-stumping legal prompts grounded in multiple source or input files.
• Review model outputs for correctness, legal realism, and faithful use of the provided materials.
• Apply senior professional judgment, identify relevant legal issues clearly, and follow project guidance.

Priority Practice Areas

• Individuals and families: landlord-tenant and housing; small claims and consumer protection; family law; consumer debt, credit, and bankruptcy; employment and workplace rights; criminal and traffic matters; and immigration.
• Planning and public matters: estate planning; public benefits and disability; tax problems; contracts and personal agreements; and property, homeownership, and real estate.
• Claims and creative rights: individual-focused intellectual property; and personal injury and insurance claims.

Qualifications

• 5+ years of professional legal experience under U.S. law in one or more of the priority practice areas listed above.
• Attorneys should hold a U.S. J.D. and/or admission to a U.S. state bar.
• Senior paralegals and other legal specialists may also qualify if they have substantive, hands-on experience in a priority practice area.
• Current or recent legal practice is preferred.

Compensation

Compensation is $105 USD per hour.

Our client is seeking U.S. legal professionals for a short-term AI-training project creating challenging prompts and evaluations using multiple input files.

What You'll Do

• Build realistic, model-stumping legal prompts grounded in multiple source or input files.
• Review model outputs for correctness, legal realism, and faithful use of the provided materials.
• Apply professional judgment, identify relevant legal issues clearly, and follow project guidance.

Priority Practice Areas

• Individuals and families: landlord-tenant and housing; small claims and consumer protection; family law; consumer debt, credit, and bankruptcy; employment and workplace rights; criminal and traffic matters; and immigration.
• Planning and public matters: estate planning; public benefits and disability; tax problems; contracts and personal agreements; and property, homeownership, and real estate.
• Claims and creative rights: individual-focused intellectual property; and personal injury and insurance claims.

Qualifications

• 2–5 years of professional legal experience under U.S. law in one or more of the priority practice areas listed above.
• Attorneys should hold a U.S. J.D. and/or admission to a U.S. state bar.
• Paralegals and other legal specialists may also qualify if they have substantive, hands-on experience in a priority practice area.
• Current or recent legal practice is preferred.

Compensation

Compensation is $75 USD per hour.

Our client is seeking senior United States-based personal finance professionals for an AI training project involving real-world financial topics and scenarios. This opportunity is intended for experienced practitioners whose work directly supports individuals or households, rather than candidates whose experience is limited to corporate finance.

Relevant Backgrounds

You may be a fit if your experience includes one or more of the following:

• Preparing individual tax returns, personal tax planning, capital-gains matters, or self-employment and quarterly taxes.
• Advising individuals on investments, asset allocation, portfolio rebalancing, retirement accounts, or Social Security planning.
• Helping households with comprehensive financial planning, budgeting, cash flow, debt, or financial goals.
• Supporting estate and gift tax, trust administration, beneficiary planning, or fiduciary accounting in a non-attorney capacity.
• Advising on student loans, mortgage refinancing, credit-card payoff, home affordability, or college and 529 planning.
• Supporting clients with equity compensation, including RSUs, stock options, ESPPs, or self-employed finances.

Relevant titles may include CPA, Enrolled Agent, personal tax preparer, financial advisor, wealth advisor, retirement planner, financial planner, trust officer, or fiduciary accountant. CFP, PFS, CPA, EA, and CTFA credentials are particularly strong signals for this senior opportunity, but equivalent depth of household-facing experience may also qualify.

Requirements

• Currently based in the United States.
• At least 10 years of directly relevant professional experience.
• Significant professional experience advising or supporting individuals or households in at least one of the areas above.
• Ability to apply senior-level judgment, explain complex financial concepts clearly, and follow detailed project instructions.

Compensation

Compensation is $96 USD per hour.

Our client is seeking United States-based personal finance professionals for an AI training project involving real-world financial topics and scenarios. This opportunity is intended for people whose professional work directly supports individuals or households, rather than candidates whose experience is limited to corporate finance.

Relevant Backgrounds

You may be a fit if your experience includes one or more of the following:

• Preparing individual tax returns, personal tax planning, capital-gains matters, or self-employment and quarterly taxes.
• Advising individuals on investments, asset allocation, portfolio rebalancing, retirement accounts, or Social Security planning.
• Helping households with comprehensive financial planning, budgeting, cash flow, debt, or financial goals.
• Supporting estate and gift tax, trust administration, beneficiary planning, or fiduciary accounting in a non-attorney capacity.
• Advising on student loans, mortgage refinancing, credit-card payoff, home affordability, or college and 529 planning.
• Supporting clients with equity compensation, including RSUs, stock options, ESPPs, or self-employed finances.

Relevant titles may include CPA, Enrolled Agent, personal tax preparer, financial advisor, wealth advisor, retirement planner, financial planner, trust officer, or fiduciary accountant. CFP, PFS, CPA, EA, and CTFA credentials are strong signals but are not required for every qualified background.

Requirements

• Currently based in the United States.
• At least 2 years of directly relevant professional experience.
• Professional experience advising or supporting individuals or households in at least one of the areas above.
• Ability to apply sound judgment, explain financial concepts clearly, and follow detailed project instructions.

Compensation

Compensation is $50 USD per hour.

Outlier partners with leading AI companies to improve how artificial intelligence understands real people: how we speak, express emotion, communicate intent, and respond naturally in everyday situations.

We are looking for native Simplified Chinese speakers who are comfortable using their voice. This project is a strong fit for people who can bring clarity, personality, and emotional range to short audio recordings. You do not need to be a professional actor, but you should be expressive, confident, and able to speak naturally in front of a microphone.

What You'll Work On

You may be asked to complete a variety of audio and text-based tasks, such as:

• Recording short audio clips
• Reading or acting brief scripts with different tones, emotions, or speaking styles
• Listening to or reviewing audio clips and capturing details in text
• Helping improve AI systems' understanding of human speech, tone, and expression

This opportunity may be a great match if you have experience in

• Acting, theater, or improv
• Podcasting, streaming, or vocal performance
• Call centers, sales, or customer support
• Public speaking or presenting
• Any role where clear, expressive communication is important

Naturally outgoing and expressive speakers are encouraged to apply, even without formal performance experience.

Requirements

• Native fluency in Simplified Chinese
• Strong vocal clarity, expression, and emotional range
• Quiet, distraction-free recording environment
• Reliable internet connection
• Must not be located in any restricted country or region listed below

Nice to Have

• Theater, improv, acting, or voiceover experience
• Classical vocal training or public speaking background
• Professional microphone or home recording setup
• Prior experience recording audio content

Pay

This project pays up to $20 USD per hour for core project work.

Contributors may also be eligible for additional incentive opportunities through Missions, Outlier's version of surge pricing. Rates and available work may vary based on skills assessment, project needs, expertise, location, and other factors. Some onboarding, assessment, or non-core work may be paid at a different rate.

Location Eligibility

This opportunity is open to qualified contributors worldwide, except individuals located in Cambodia, Haiti, Nicaragua, Venezuela, Cuba, Iran, North Korea, Syria, Afghanistan, Belarus, China, Ethiopia, Eritrea, Hong Kong, Lebanon, Macau, Myanmar/Burma, Pakistan, Palestine, Russia, Somalia, Ukraine, or Yemen.

Outlier partners with leading AI companies to improve how artificial intelligence understands real people: how we speak, express emotion, communicate intent, and respond naturally in everyday situations.

We are looking for native Italian speakers who are comfortable using their voice. This project is a strong fit for people who can bring clarity, personality, and emotional range to short audio recordings. You do not need to be a professional actor, but you should be expressive, confident, and able to speak naturally in front of a microphone.

What You'll Work On

You may be asked to complete a variety of audio and text-based tasks, such as:

• Recording short audio clips
• Reading or acting brief scripts with different tones, emotions, or speaking styles
• Listening to or reviewing audio clips and capturing details in text
• Helping improve AI systems' understanding of human speech, tone, and expression

This opportunity may be a great match if you have experience in

• Acting, theater, or improv
• Podcasting, streaming, or vocal performance
• Call centers, sales, or customer support
• Public speaking or presenting
• Any role where clear, expressive communication is important

Naturally outgoing and expressive speakers are encouraged to apply, even without formal performance experience.

Requirements

• Native fluency in Italian
• Strong vocal clarity, expression, and emotional range
• Quiet, distraction-free recording environment
• Reliable internet connection
• Must not be located in any restricted country or region listed below

Nice to Have

• Theater, improv, acting, or voiceover experience
• Classical vocal training or public speaking background
• Professional microphone or home recording setup
• Prior experience recording audio content

Pay

This project pays up to $20 USD per hour for core project work.

Contributors may also be eligible for additional incentive opportunities through Missions, Outlier's version of surge pricing. Rates and available work may vary based on skills assessment, project needs, expertise, location, and other factors. Some onboarding, assessment, or non-core work may be paid at a different rate.

Location Eligibility

This opportunity is open to qualified contributors in the selected posting countries, except individuals located in Cambodia, Haiti, Nicaragua, Venezuela, Cuba, Iran, North Korea, Syria, Afghanistan, Belarus, China, Ethiopia, Eritrea, Hong Kong, Lebanon, Macau, Myanmar/Burma, Pakistan, Palestine, Russia, Somalia, Ukraine, or Yemen.

Outlier partners with leading AI companies to improve how artificial intelligence understands real people: how we speak, express emotion, communicate intent, and respond naturally in everyday situations.

We are looking for native Thai speakers who are comfortable using their voice. This project is a strong fit for people who can bring clarity, personality, and emotional range to short audio recordings. You do not need to be a professional actor, but you should be expressive, confident, and able to speak naturally in front of a microphone.

What You'll Work On

You may be asked to complete a variety of audio and text-based tasks, such as:

• Recording short audio clips
• Reading or acting brief scripts with different tones, emotions, or speaking styles
• Listening to or reviewing audio clips and capturing details in text
• Helping improve AI systems' understanding of human speech, tone, and expression

This opportunity may be a great match if you have experience in

• Acting, theater, or improv
• Podcasting, streaming, or vocal performance
• Call centers, sales, or customer support
• Public speaking or presenting
• Any role where clear, expressive communication is important

Naturally outgoing and expressive speakers are encouraged to apply, even without formal performance experience.

Requirements

• Native fluency in Thai
• Strong vocal clarity, expression, and emotional range
• Quiet, distraction-free recording environment
• Reliable internet connection
• Must not be located in any restricted country or region listed below

Nice to Have

• Theater, improv, acting, or voiceover experience
• Classical vocal training or public speaking background
• Professional microphone or home recording setup
• Prior experience recording audio content

Pay

This project pays up to $10 USD per hour for core project work.

Contributors may also be eligible for additional incentive opportunities through Missions, Outlier's version of surge pricing. Rates and available work may vary based on skills assessment, project needs, expertise, location, and other factors. Some onboarding, assessment, or non-core work may be paid at a different rate.

Location Eligibility

This opportunity is open to qualified contributors worldwide, except individuals located in Cambodia, Haiti, Nicaragua, Venezuela, Cuba, Iran, North Korea, Syria, Afghanistan, Belarus, China, Ethiopia, Eritrea, Hong Kong, Lebanon, Macau, Myanmar/Burma, Pakistan, Palestine, Russia, Somalia, Ukraine, or Yemen.

Outlier partners with leading AI companies to improve how artificial intelligence understands real people: how we speak, express emotion, communicate intent, and respond naturally in everyday situations.

We are looking for native French speakers who are comfortable using their voice. This project is a strong fit for people who can bring clarity, personality, and emotional range to short audio recordings. You do not need to be a professional actor, but you should be expressive, confident, and able to speak naturally in front of a microphone.

What You'll Work On

You may be asked to complete a variety of audio and text-based tasks, such as:

• Recording short audio clips
• Reading or acting brief scripts with different tones, emotions, or speaking styles
• Listening to or reviewing audio clips and capturing details in text
• Helping improve AI systems' understanding of human speech, tone, and expression

This opportunity may be a great match if you have experience in

• Acting, theater, or improv
• Podcasting, streaming, or vocal performance
• Call centers, sales, or customer support
• Public speaking or presenting
• Any role where clear, expressive communication is important

Naturally outgoing and expressive speakers are encouraged to apply, even without formal performance experience.

Requirements

• Native fluency in French
• Strong vocal clarity, expression, and emotional range
• Quiet, distraction-free recording environment
• Reliable internet connection
• Must not be located in any restricted country or region listed below

Nice to Have

• Theater, improv, acting, or voiceover experience
• Classical vocal training or public speaking background
• Professional microphone or home recording setup
• Prior experience recording audio content

Pay

This project pays up to $25 USD per hour for core project work.

Contributors may also be eligible for additional incentive opportunities through Missions, Outlier's version of surge pricing. Rates and available work may vary based on skills assessment, project needs, expertise, location, and other factors. Some onboarding, assessment, or non-core work may be paid at a different rate.

Location Eligibility

This opportunity is open to qualified contributors in the selected posting countries, except individuals located in Cambodia, Haiti, Nicaragua, Venezuela, Cuba, Iran, North Korea, Syria, Afghanistan, Belarus, China, Ethiopia, Eritrea, Hong Kong, Lebanon, Macau, Myanmar/Burma, Pakistan, Palestine, Russia, Somalia, Ukraine, or Yemen.

Outlier partners with leading AI companies to improve how artificial intelligence understands real people: how we speak, express emotion, communicate intent, and respond naturally in everyday situations.

We are looking for native Bengali speakers who are comfortable using their voice. This project is a strong fit for people who can bring clarity, personality, and emotional range to short audio recordings. You do not need to be a professional actor, but you should be expressive, confident, and able to speak naturally in front of a microphone.

What You'll Work On

You may be asked to complete a variety of audio and text-based tasks, such as:

• Recording short audio clips
• Reading or acting brief scripts with different tones, emotions, or speaking styles
• Listening to or reviewing audio clips and capturing details in text
• Helping improve AI systems' understanding of human speech, tone, and expression

This opportunity may be a great match if you have experience in

• Acting, theater, or improv
• Podcasting, streaming, or vocal performance
• Call centers, sales, or customer support
• Public speaking or presenting
• Any role where clear, expressive communication is important

Naturally outgoing and expressive speakers are encouraged to apply, even without formal performance experience.

Requirements

• Native fluency in Bengali
• Strong vocal clarity, expression, and emotional range
• Quiet, distraction-free recording environment
• Reliable internet connection
• Must not be located in any restricted country or region listed below

Nice to Have

• Theater, improv, acting, or voiceover experience
• Classical vocal training or public speaking background
• Professional microphone or home recording setup
• Prior experience recording audio content

Pay

This project pays up to $7.50 USD per hour for core project work.

Contributors may also be eligible for additional incentive opportunities through Missions, Outlier's version of surge pricing. Rates and available work may vary based on skills assessment, project needs, expertise, location, and other factors. Some onboarding, assessment, or non-core work may be paid at a different rate.

Location Eligibility

This opportunity is open to qualified contributors in the selected posting countries, except individuals located in Cambodia, Haiti, Nicaragua, Venezuela, Cuba, Iran, North Korea, Syria, Afghanistan, Belarus, China, Ethiopia, Eritrea, Hong Kong, Lebanon, Macau, Myanmar/Burma, Pakistan, Palestine, Russia, Somalia, Ukraine, or Yemen.

Outlier partners with leading AI companies to improve how artificial intelligence understands real people: how we speak, express emotion, communicate intent, and respond naturally in everyday situations.

We are looking for native Vietnamese speakers who are comfortable using their voice. This project is a strong fit for people who can bring clarity, personality, and emotional range to short audio recordings. You do not need to be a professional actor, but you should be expressive, confident, and able to speak naturally in front of a microphone.

What You'll Work On

You may be asked to complete a variety of audio and text-based tasks, such as:

• Recording short audio clips
• Reading or acting brief scripts with different tones, emotions, or speaking styles
• Listening to or reviewing audio clips and capturing details in text
• Helping improve AI systems' understanding of human speech, tone, and expression

This opportunity may be a great match if you have experience in

• Acting, theater, or improv
• Podcasting, streaming, or vocal performance
• Call centers, sales, or customer support
• Public speaking or presenting
• Any role where clear, expressive communication is important

Naturally outgoing and expressive speakers are encouraged to apply, even without formal performance experience.

Requirements

• Native fluency in Vietnamese
• Strong vocal clarity, expression, and emotional range
• Quiet, distraction-free recording environment
• Reliable internet connection
• Must not be located in any restricted country or region listed below

Nice to Have

• Theater, improv, acting, or voiceover experience
• Classical vocal training or public speaking background
• Professional microphone or home recording setup
• Prior experience recording audio content

Pay

This project pays up to $11 USD per hour for core project work.

Contributors may also be eligible for additional incentive opportunities through Missions, Outlier's version of surge pricing. Rates and available work may vary based on skills assessment, project needs, expertise, location, and other factors. Some onboarding, assessment, or non-core work may be paid at a different rate.

Location Eligibility

This opportunity is open to qualified contributors in the selected posting countries, except individuals located in Cambodia, Haiti, Nicaragua, Venezuela, Cuba, Iran, North Korea, Syria, Afghanistan, Belarus, China, Ethiopia, Eritrea, Hong Kong, Lebanon, Macau, Myanmar/Burma, Pakistan, Palestine, Russia, Somalia, Ukraine, or Yemen.

Outlier partners with leading AI companies to improve how artificial intelligence understands real people: how we speak, express emotion, communicate intent, and respond naturally in everyday situations.

We are looking for native Korean speakers who are comfortable using their voice. This project is a strong fit for people who can bring clarity, personality, and emotional range to short audio. You do not need to be a professional actor, but you should be expressive, confident, and able to speak naturally in front of a microphone

What You'll Work On

You may be asked to complete a variety of audio and text-based tasks, such as:

• Recording short audio clips
• Reading or acting brief scripts with different tones, emotions, or speaking styles
• Listening to or reviewing audio/video clips and capturing details in text
• Helping improve AI systems' understanding of human speech, tone, and expression

This opportunity may be a great match if you have experience in

• Acting, theater, or improv
• Podcasting, streaming, or vocal performance
• Call centers, sales, or customer support
• Public speaking or presenting
• Any role where clear, expressive communication is important

Naturally outgoing and expressive speakers are encouraged to apply, even without formal performance experience.

Requirements

• Native fluency in Korean
• Strong vocal clarity, expression, and emotional range
• Comfort speaking on camera
• Quiet, distraction-free recording environment
• Reliable internet connection
• Must not be located in any restricted country or region listed below

Nice to Have

• Theater, improv, acting, or voiceover experience
• Classical vocal training or public speaking background
• Professional microphone, or home recording setup
• Prior experience recording audio or video content

Pay

This project pays up to $31 USD per hour for core project work.

Contributors may also be eligible for additional incentive opportunities through Missions, Outlier's version of surge pricing. Rates and available work may vary based on skills assessment, project needs, expertise, location, and other factors. Some onboarding, assessment, or non-core work may be paid at a different rate.

Location Eligibility

This opportunity is open to qualified contributors worldwide, except individuals located in Cambodia, Haiti, Nicaragua, Venezuela, Cuba, Iran, North Korea, Syria, Afghanistan, Belarus, China, Ethiopia, Eritrea, Hong Kong, Lebanon, Macau, Myanmar/Burma, Pakistan, Palestine, Russia, Somalia, Ukraine, or Yemen.

Outlier partners with leading AI companies to improve how artificial intelligence understands real people: how we speak, express emotion, communicate intent, and respond naturally in everyday situations.

We are looking for native German speakers who are comfortable using their voice. This project is a strong fit for people who can bring clarity, personality, and emotional range to short audio recordings. You do not need to be a professional actor, but you should be expressive, confident, and able to speak naturally in front of a microphone.

What You'll Work On

You may be asked to complete a variety of audio and text-based tasks, such as:

• Recording short audio clips
• Reading or acting brief scripts with different tones, emotions, or speaking styles
• Listening to or reviewing audio clips and capturing details in text
• Helping improve AI systems' understanding of human speech, tone, and expression

This opportunity may be a great match if you have experience in

• Acting, theater, or improv
• Podcasting, streaming, or vocal performance
• Call centers, sales, or customer support
• Public speaking or presenting
• Any role where clear, expressive communication is important

Naturally outgoing and expressive speakers are encouraged to apply, even without formal performance experience.

Requirements

• Native fluency in German
• Strong vocal clarity, expression, and emotional range
• Quiet, distraction-free recording environment
• Reliable internet connection
• Must not be located in any restricted country or region listed below

Nice to Have

• Theater, improv, acting, or voiceover experience
• Classical vocal training or public speaking background
• Professional microphone or home recording setup
• Prior experience recording audio content

Pay

This project pays up to $29 USD per hour for core project work.

Contributors may also be eligible for additional incentive opportunities through Missions, Outlier's version of surge pricing. Rates and available work may vary based on skills assessment, project needs, expertise, location, and other factors. Some onboarding, assessment, or non-core work may be paid at a different rate.

Location Eligibility

This opportunity is open to qualified contributors in the selected posting countries, except individuals located in Cambodia, Haiti, Nicaragua, Venezuela, Cuba, Iran, North Korea, Syria, Afghanistan, Belarus, China, Ethiopia, Eritrea, Hong Kong, Lebanon, Macau, Myanmar/Burma, Pakistan, Palestine, Russia, Somalia, Ukraine, or Yemen.

We're hiring PhD-level quantitative finance experts to help train and evaluate advanced AI models on financial and quantitative reasoning. This is remote, flexible contract work where your specialized expertise directly shapes how cutting-edge models handle complex quantitative problems, financial modeling, and domain-specific reasoning.

This is a short-term engagement running through the end of June, with potential to extend.

You may contribute your expertise by

• Assessing the factuality and relevance of quantitative and finance-related text produced by AI models
• Crafting and answering questions related to quantitative finance, financial modeling, and applied mathematics
• Evaluating and ranking domain-specific responses generated by AI models

What We're Looking For

• A PhD (completed or in final stages) in Quantitative Finance, Financial Engineering, Financial Mathematics, or a closely related quantitative field with a strong finance focus
• Deep familiarity with quantitative methods such as stochastic modeling, derivatives pricing, econometrics, risk modeling, or computational finance
• Strong analytical and critical-thinking skills, with the ability to spot subtle errors in quantitative reasoning
• Fluent written English and the ability to communicate complex ideas clearly

Nice to Have

• Research experience (academic or industry, including buy-side or sell-side quant roles)
• Prior experience with data annotation or AI model evaluation
• Experience reviewing or publishing research papers

Compensation

Up to $150/hr , depending on your area of expertise, depth of experience, and assessment performance. Quantitative finance specialists are among our most sought-after experts.

Location

This role is fully remote. We are currently accepting applicants based in:

United States, Canada, Puerto Rico, Mexico, United Kingdom, Australia, New Zealand, and Argentina.

We're hiring PhD-level experts to help train and evaluate advanced AI models. This is remote, flexible contract work where your academic expertise directly shapes how cutting-edge models reason, answer, and improve. You'll review AI-generated content in your field, identify where the model gets things right or wrong, and help raise the quality bar on technical reasoning.

This is a short-term engagement running through the end of June, with potential to extend depending on project needs.

You may contribute your expertise by

• Assessing the factuality and relevance of domain-specific text produced by AI models
• Crafting and answering questions related to Machine Learning and AI
• Evaluating and ranking domain-specific responses generated by AI models

What We're Looking For

• A PhD (completed or in final stages) in one of the following fields: Machine Learning / AI, Computer Science, Engineering, Statistics, or a closely related quantitative subdomain such as Mathematics or Physics
• Strong analytical and critical-thinking skills, with the ability to spot subtle errors in technical reasoning
• Fluent written English and the ability to communicate complex ideas clearly

Nice to Have

• Research experience (academic or industry)
• Prior experience with data annotation or AI model evaluation
• Experience reviewing or publishing research papers

Compensation

Up to $150/hr , depending on your area of expertise, depth of experience, and assessment performance.

Location

This role is fully remote. We are currently accepting applicants based in:

United States, Canada, Puerto Rico, Mexico, United Kingdom, Australia, New Zealand, and Argentina.

What We're Researching

We are running a paid project focused on generating high-quality labeled data for artificial intelligence models. This ongoing initiative helps refine machine learning systems across a variety of formats and subject matters. Your work directly contributes to improving model accuracy, safety, and reasoning capabilities.

How It Works

You will log into our remote platform to access a queue of diverse annotation assignments. Depending on the current batch, you might categorize text, highlight specific entities, or evaluate AI-generated responses for quality. You will work through these assignments independently and at your own pace. The project features rolling availability, allowing you to seamlessly fit the work around your existing schedule.

Who This Is For

We are looking for detail-oriented individuals with prior experience in data annotation, data labeling, or AI model evaluation. We welcome freelance labelers, QA testers, content moderators, and machine learning data specialists. You must be comfortable working independently and adapting to new labeling guidelines as project parameters evolve.

What You'll Do

• Review text or media samples based on provided project guidelines
• Apply accurate labels and categorizations to diverse data sets
• Evaluate AI-generated responses for clarity, safety, and factual accuracy
• Manage your own time to complete assignments at your preferred pace

Who Should Apply

• Prior professional experience with data annotation or labeling
• Strong attention to detail and ability to follow complex guidelines
• Comfortable working independently on a remote basis
• Familiarity with evaluating AI outputs or machine learning datasets

Compensation

$40 per hour

About Terac

Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.

Learn more at terac.com or on YouTube at @jointerac .

Bring your expertise to the problems today’s most advanced AI agents still struggle to solve.

We’re looking for experienced professionals to develop challenging tasks for an AI benchmark. You’ll draw on problems from your own field and turn them into clearly defined challenges that an AI agent must solve from scratch in a Linux terminal.

What you’ll do

• Identify difficult, meaningful problems in your area of expertise.
• Translate those problems into tasks that can be solved in a Linux terminal.
• Design challenges that expose limitations in advanced AI agents. Each task is tested against three leading models, with three attempts per model, and must prove difficult enough that the models mostly fail.

Who we’re looking for

• A completed master’s degree or higher. Candidates with a bachelor’s degree, at least 10 years of relevant professional experience and a publication may also be considered.
• At least 10 years of professional experience in a technical domain.
• Expertise in coding, machine learning, systems, cybersecurity or hardware.
• At least one academic or professional publication.
• Practical comfort working in a Linux terminal.
• Currently based in the United States.

Project details

• Task-based project expected to run for at least seven weeks.
• Onboarding includes two courses and a graded assessment, taking approximately 90 minutes.
• A live onboarding webinar is also required.

Compensation

• Earn up to $1,350 per task , with opportunities for higher rates based on task quality and submission volume.
• Tasks take six to seven hours on average, although initial tasks may take longer as you get familiar with the process.

Role Title: At-Home Video Recorder

Location: Remote - based in Alabama, Alaska, Arkansas, Delaware, Florida, Georgia, Idaho, Indiana, Illinois, Iowa, Kansas, Kentucky, Louisiana, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin, and Wyoming.

Job Summary

Get paid from home in this fully remote opportunity by recording your everyday household chores with your cellphone. Simply film your normal daily activities from a first-person point of view and earn money.

Key Responsibilities

• Capture household tasks using your smartphone during specified physical tasks.
• Record synchronized video footage.
• Complete a device compatibility check and an AI-enabled interview during onboarding.

Required Skills and Qualifications

• Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or later.
• Must be comfortable wearing a phone mount equipment shipped to you.
• Physical capability to perform repetitive movement tasks safely.
• Eligibility to work in the U.S.

Compensation Structure

• You will be paid per hour of recorded video that you submit that is in line with project guidelines.

Start Timeline & Availability

• Roles are being filled with immediate availability, with your starting time dependent on the shipping time of headstrap equipment to your home.

Equipment Requirements

• Mobile: You'll need a smartphone to complete this project. You'll use it to record yourself while performing the required tasks.
• Head Strap / Wearable: You'll also need a head strap to record first-person videos while doing your chores. We will pay you $20 as a signing bonus and reimbursement for your headstrap purchase after you complete 20 hours of work with us!

IMPORTANT DISCLAIMER

• Candidates who meet the project’s location and equipment requirements will be contacted soon to complete an identity verification process. Selected candidates should be able to complete this ID verification within 48 hours of being contacted. Successful verification is required before the contract can be issued for signature.

Role Title: At-Home Video Recorder

Location: Remote - experts based in Latin America and the Caribbean. Selected countries include:

Argentina, Bahamas, Barbados, Brazil, Chile, Colombia, Costa Rica, Dominican Republic, Jamaica, Mexico, Panama and Uruguay.

Job Summary

Get paid from home in this fully remote opportunity by recording your everyday household chores with your cellphone. Simply film your normal daily activities from a first-person point of view and earn money.

Key Responsibilities

• Capture household tasks using your smartphone during specified physical tasks.
• Record synchronized video footage.
• Complete a device compatibility check and an AI-enabled interview during onboarding.

Required Skills and Qualifications

• Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or later.
• Must be comfortable wearing a phone mount equipment shipped to you.
• Physical capability to perform repetitive movement tasks safely.
• Eligibility to work from above mention country.

Compensation Structure

• You will be paid per hour of recorded video that you submit that is in line with project guidelines.

Start Timeline & Availability

• Roles are being filled with immediate availability, with your starting time dependent on the shipping time of headstrap equipment to your home.

Equipment Requirements

• Mobile: You'll need a smartphone to complete this project. You'll use it to record yourself while performing the required tasks.
• Head Strap / Wearable: You'll also need a head strap to record first-person videos while doing your chores. We will pay you $20 as a signing bonus and reimbursement for your headstrap purchase after you complete 20 hours of work with us!

IMPORTANT DISCLAIMER

• Candidates who meet the project’s location and equipment requirements will be contacted soon to complete an identity verification process. Selected candidates should be able to complete this ID verification within 48 hours of being contacted. Successful verification is required before the contract can be issued for signature.

Role Title: Dentist for AI training

Role Type: Contractor

Location: Remote

micro1 is engaging experienced dentists to participate in AI data training opportunities for a customer’s project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters.

Scope of Work

• Analyze, annotate, and label clinical dental data to support AI model development.
• Evaluate outputs from dental AI models for accuracy, clinical relevance, and workflow realism.
• Provide expert insights on digital dentistry, including CAD/CAM workflows, digital imaging, and treatment planning software.
• Review and validate dental charting, imaging, and case scenarios for use in machine learning tasks.
• Collaborate with cross-functional project teams to clarify dental practices and software usage.
• Deliver structured feedback and guidance to help refine and enhance AI-driven dental applications.

Preferred Qualifications

• Licensed dentist (DDS, DMD, or internationally recognized equivalent).
• Proven hands-on experience with clinical dental software (practice management, digital imaging, CAD/CAM, or treatment planning solutions).
• Prior involvement in human data projects (data labeling, annotation, RLHF, evaluation, or similar tasks).
• Comprehensive understanding of digital dentistry workflows and technologies.
• Strong analytical skills and attention to detail for data review and annotation.
• English language proficiency at B2 level or above.
• Comfort with remote, software-based project participation and virtual collaboration.

Your final hourly rate will be chosen by our client and determined by your location.

We’re looking for two freelancers with strong expertise in Finite Element Analysis (FEA) using CalculiX, covering stress analysis, buckling, and vibration simulations. Experience applying the software across different engineering contexts is preferred.

You will review and annotate engineering datasets focused on CalculiX, including stress analysis, buckling and vibration, assessing technical accuracy and explaining corrections.

Requirements

• Strong hands-on experience with CalculiX.
• Expertise in stress analysis, buckling, and vibration analysis.
• Experience using CalculiX across different applications or engineering domains.
• Good knowledge of general-purpose meshing software and workflows.
• Ability to work independently on technical simulation projects.
• At least five years of relevant experience in FEA or closely related structural engineering simulation work.

Engagement: 15–20 hours/week Openings: 2 freelancers Location: US, Canada, UK, or Europe

Engagement

• Remote, project-based expert role
• Supporting AI model training and evaluation for a leading AI lab .

Your final hourly rate will be chosen by our client and determined by your location.

We’re looking for a freelancer with strong expertise in crash simulation and testing using OpenRadioss to support engineering simulation projects.

You will review and annotate engineering datasets focused on OpenRadioss crash and impact simulations, assessing technical accuracy and explaining corrections.

Requirements

• Strong hands-on experience with OpenRadioss.
• Expertise in crash analysis and impact simulations.
• Experience with finite element analysis (FEA) and simulation workflows.
• Ability to work independently and deliver high-quality technical results.
• At least five years of relevant experience in crash, impact or closely related nonlinear dynamic simulation work.

Engagement: 15–20 hours/week Location: US, Canada, UK, or Europe

Engagement

• Remote, project-based expert role
• Supporting AI model training and evaluation for a leading AI lab .

Your final hourly rate will be chosen by our client and determined by your location.

We’re looking for a freelancer with strong expertise in Computational Fluid Dynamics (CFD) and OpenFOAM, ideally with experience applying the software across different industries and engineering applications.

You will review and annotate engineering datasets focused on OpenFOAM, applying your CFD expertise to assess technical accuracy and explain corrections.

Requirements

• Strong hands-on experience with OpenFOAM across multiple contexts or domains.
• Knowledge of CFD simulation and analysis.
• Good understanding of general-purpose meshing software and workflows.
• Ability to work independently on engineering simulation projects.
• At least five years of relevant experience in CFD or closely related engineering simulation work.

Engagement: 15–20 hours/week Location: US, Canada, UK, or Europe

Engagement

• Remote, project-based expert role
• Supporting AI model training and evaluation for a leading AI lab .

About the project

We are seeking United States-based contributors who are fluent or near-native in English to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in the United States
• Must be fluent or near-native in English
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.50 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $23 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Indonesia-based contributors who are fluent or near-native in Indonesian to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Indonesia
• Must be fluent or near-native in Indonesian
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $18 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Malaysia-based contributors who are fluent or near-native in Malay to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Malaysia
• Must be fluent or near-native in Malay
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $13 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Morocco-based contributors who are fluent or near-native in Arabic to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Morocco
• Must be fluent or near-native in Arabic
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $14 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Mexico-based contributors who are fluent or near-native in Spanish to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Mexico
• Must be fluent or near-native in Spanish
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $13 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking France-based contributors who are fluent or near-native in French to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in France
• Must be fluent or near-native in French
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.50 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $23 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Switzerland-based contributors who are fluent or near-native in French to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Switzerland.
• Must be fluent or near-native in French.
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $2.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $30 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Germany-based contributors who are fluent or near-native in German to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Germany
• Must be fluent or near-native in German
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.50 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $23 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Switzerland-based contributors who are fluent or near-native in German to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Switzerland
• Must be fluent or near-native in German
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $2.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $30 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Netherlands-based contributors who are fluent or near-native in Dutch to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Netherlands
• Must be fluent or near-native in Dutch
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.50 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $26 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Sweden-based contributors who are fluent or near-native in Swedish to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Sweden
• Must be fluent or near-native in Swedish
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.50 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $28 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Denmark-based contributors who are fluent or near-native in Danish to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Denmark
• Must be fluent or near-native in Danish
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.50 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $28 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Israel-based contributors who are fluent or near-native in Hebrew to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Israel
• Must be fluent or near-native in Hebrew
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.50 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $24 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Finland-based contributors who are fluent or near-native in Finnish to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Finland
• Must be fluent or near-native in Finnish
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $28 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Bulgaria-based contributors who are fluent or near-native in Bulgarian to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Bulgaria
• Must be fluent or near-native in Bulgarian
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $15 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Canada-based contributors who are fluent or near-native in English to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Canada
• Must be fluent or near-native in English
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.50 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $23 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

About the project

We are seeking Switzerland-based contributors who are fluent or near-native in Italian to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Switzerland
• Must be fluent or near-native in Italian
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100–400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $2.00 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $30 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.

The Work

You will review and correct annotations used to train an AI-assisted semen analyzer. The data consists of short, grayscale microscopy video sequences with sperm marked by rotated bounding boxes and tracked across frames.

The images are computationally reconstructed rather than standard phase-contrast or brightfield views. A short paid onboarding session will explain how sperm appear in this imaging format.

• Check machine-generated and human-drawn labels, add missed sperm, remove false positives such as debris, round cells, and artifacts, and correct box orientation.
• Watch sequences of about two seconds and confirm or correct motility classes using WHO 6th-edition categories: progressive, non-progressive, and immotile.
• Count sperm in defined regions when needed to compare annotation results with model output.
• Write short notes about ambiguous cells, image-quality problems, and unclear parts of the annotation guideline.
• A possible later feasibility phase may involve reviewing sperm morphology, including head, midpiece, and tail, using Kruger and WHO strict criteria.

What It Pays And Takes

This is contractor work paid by the hour. The role requires careful visual review, consistent use of written guidelines, and clinical semen-analysis experience.

• Pay: $6-$14 USD per hour.
• Location: Open worldwide; your country of residence is required for data-protection review.
• Language: Fluent written English for notes and questions about the guidelines.
• Experience: At least two years of hands-on manual semen analysis in a clinical andrology, IVF, or reproductive-medicine laboratory.
• Required technical experience: Concentration testing with a hemocytometer and motility grading under WHO 5th or 6th edition standards.
• Required equipment: Reliable internet and a desktop or laptop with a screen of at least 1080p. Phone and tablet work is not supported.
• Application materials: A CV and verifiable proof of laboratory experience, including employer, role, and dates.
• Before access: You must sign an NDA, IP assignment, and data-protection agreement.
• Preferred credentials and experience include an embryology or andrology credential, EQA or proficiency-testing participation, Kruger strict morphology experience, CASA systems experience, or prior use of annotation tools such as Label Studio, Encord, CVAT, or V7.
• You must provide your laboratory experience, years, approximate work volume, WHO edition used, credentials, EQA or proficiency participation, weekly availability, time zone, and country of residence.

How It Works

All work takes place inside the annotation platform. You may not download, screenshot, or copy project images, use AI tools or third parties on project data, or try to identify any participant. The data is de-identified research data.

Before production work, you complete a paid calibration task lasting about two to three hours. It is scored against expert reference labels, and agreement with those references is reviewed regularly afterward. You also receive brief guideline training and confirm it in a signed training record.

• Apply on OpenTrain.
• The employer reviews applications there.

About AI Training Work

AI training work is the human review behind systems that learn from labeled examples. In this role, your clinical experience helps create accurate examples for a model that analyzes semen microscopy data.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

About the Role

We are seeking highly qualified Domain Experts (SMEs) to support the evaluation, testing, and improvement of advanced Large Language Models (LLMs). You will apply your subject-matter expertise to assess AI-generated responses, identify knowledge gaps, design challenging prompts, and improve model accuracy, reliability, and reasoning.

Key Responsibilities

• Create complex, domain-specific prompts to test LLM capabilities.
• Evaluate AI-generated responses for factual accuracy, reasoning, relevance, and overall quality.
• Identify factual errors, logical inconsistencies, knowledge gaps, and model weaknesses.
• Develop challenging test cases and edge cases that expose model limitations.
• Provide clear, detailed, and evidence-based feedback to improve model performance.

Minimum Qualifications

• Master’s degree or higher in a relevant field.
• At least three years of professional, research, or teaching experience.
• Excellent written English communication skills.
• Strong analytical and critical-thinking abilities.
• Exceptional attention to detail.

Preferred Qualifications

• Experience working with LLMs or Generative AI.
• Familiarity with prompt engineering, AI evaluation, or model testing.
• Experience designing challenging prompts, identifying edge cases, or stress-testing AI models.

Ideal Candidate

The ideal candidate is curious, detail-oriented, and deeply knowledgeable in their field. They enjoy solving complex problems, challenging assumptions, and identifying subtle factual or reasoning errors. Experience designing prompts that uncover model limitations and improve AI performance will be a strong advantage.

Role Title: Dentist (DDS/DMD) - Dental Technology

Role Type: Contractor

Location: Remote

micro1 is engaging Dentist (DDS/DMD) - Dental Technology experts to contribute to a unique customer project at the intersection of clinical dentistry and digital innovation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters.

Scope of Work

• Review and evaluate dental cases, treatment plans, and clinical workflows based on real-world experience.
• Analyze dental radiographs, digital impressions, intraoral scans, and other dental imaging outputs.
• Evaluate workflows using dental practice management software, digital imaging tools, CAD/CAM systems, and treatment planning platforms.
• Identify inaccuracies and provide clear, detailed feedback based on clinical knowledge and dental best practices.
• Create and review realistic dental scenarios based on practical clinical experience.
• Review, annotate, and evaluate dental-related content to improve AI model accuracy and quality.
• Document findings and provide clear written explanations and recommendations.

Preferred Qualifications

• DDS, DMD, or equivalent dental qualification with proven clinical dentistry experience and an active dental license.
• Hands-on experience using dental software and digital dentistry tools in clinical practice.
• Experience with dental software such as Dentrix, Eaglesoft, Open Dental, 3Shape, CEREC, or similar platforms.
• Strong understanding of dental practice management, digital imaging, CAD/CAM, and treatment planning workflows.
• Prior Human Data experience, including data annotation, data labeling, RLHF, AI model evaluation, or similar projects (required).
• Experience reviewing dental imaging, digital treatment plans, and clinical documentation.
• Strong analytical skills, attention to detail, and the ability to provide structured feedback.

About Turing

Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Role Overview

In this role, you will be working on projects to help fine-tune large language models (like ChatGPT) using your strong analytical and English comprehension skills. The ideal candidate should have the ability to read, summarize, review and break down large content into smaller logical blocks, conduct research online, validate claims made in content through online research, and work with the LLM (Large Language Models) to solve puzzles!

The projects will also help you learn how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world!

Your role is critical in helping fine-tune and improve large language models (like gpt), and will make you an expert on how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world!

What does day-to-day look like:

You would spend time answering a variety of interesting analytical questions and creating scenarios that can train the LLM models to get better. Here are a couple of examples which models might get wrong and you would have to give the correct answer and explanation to enable the models to learn:

• Based on a given distribution of sales by month across locations, could you analyze which location has grown the most? (Hint: what time period should we look at? should we account for sudden variability at the beginning?)
• In a small town, there are four distinct neighborhoods: Oak, Pine, Maple, and Elm. A postman is assigned to deliver mail and can only deliver to two neighborhoods in one day, with certain rules (e.g. Oak is always visited before Pine). If he delivers to Oak and Elm on the first day, which neighborhoods does the carrier deliver to on the second day? Note: No other prior specialized domain experience is needed.

Requirements:

English Proficiency:Ability to read and write in English with a high degree of comprehension skills.

Analytical Skills: Good research and analytical skills

**Feedback Skills: **Ability to provide constructive feedback and detailed annotations.

Creative Thinking: Creative and lateral thinking abilities.

Communication: Excellent communication and collaboration skills.

Independence:Self-motivated and able to work independently in a remote setting.

Technical Setup: Desktop/Laptop set up with a good internet connection.

Preferred Qualifications

• Bachelors degree or undergraduate in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related field.
• Proven experience of 2+ yrs in Quality Assurance, data annotation, or content review workflows Strong attention to detail, especially with text accuracy and formatting validation
• Experience writing professionally (business analysts, research analyst, copywriter, journalist, technical writer, editor, translator, etc.)
• Understanding of Excel and Google Suite.
• Proficiency in Data interpretation, Logical reasoning and Basic arithmetic is preferred.

Benefits

• Opportunity to work on cutting-edge AI projects.
• Competitive compensation.
• Flexible working hours and remote work environment.

Application Process

• Shortlisted candidates will complete an assessment.
• Once the assessment is cleared, candidates can start.

Location

• Remote - Poland
• Preferred: Wrocław region for occasional onsite collaboration

Employment Type

• Part-Time / Contract
• Estimated workload: approximately 100 hours/month, roughly up to 25 hours per week

About the Role

We are seeking an experienced English-to-Polish translator and Polish linguist with strong expertise in clinical/healthcare and marketing content review. Experience with medical devices, dental, orthodontic, pharma, life sciences, cosmetics, lab, or similarly regulated content is highly preferred.

This is not a standard translation role. The primary responsibility is reviewing and improving Polish content produced by external translation providers, ensuring linguistic accuracy, consistency, compliance, terminology alignment, and market relevance.

The role will review content across both clinical education and marketing, including professional-facing, healthcare/clinical, and consumer-facing materials.

The role acts as a local linguistic authority and quality gatekeeper, bridging Marketing, Clinical teams, local stakeholders, and external vendors. The focus is improving translation quality at scale, maintaining terminology standards, reducing review burden on internal teams, and streamlining localization processes. Occasional ad-hoc English-to-Polish translation may be required for urgent or short-form content.

Key Responsibilities

• Review Polish translations of marketing, clinical education, and professional-facing content for accuracy, tone, terminology, and consistency with style guides.
• Act as the main linguistic liaison between internal teams, local reviewers, and translation providers, aligning expectations and resolving language-related issues.
• Consolidate and clarify feedback from Marketing, Clinical, Legal, and local stakeholders to ensure vendors receive clear, consistent direction.
• Provide structured, actionable feedback to vendors based on recurring issues and quality trends.
• Own and maintain Polish terminology assets and contribute to the evolution of the style guide.
• Improve localization workflows by identifying bottlenecks, reducing review cycles, and supporting quality reporting.
• Support machine translation and AI initiatives where needed, including post-editing and linguistic input for future model improvement.
• Provide occasional ad-hoc English-to-Polish translation or validation for urgent or limited-scope needs.

Requirements

• Native-level Polish speaker.
• Strong communication skills in Polish and English.
• Professional English-to-Polish translation experience.
• Degree in Linguistics, Languages, Communications, Life Sciences, Healthcare, or a related field.
• Experience in translation review, linguistic QA, in-country review, or localization quality review.
• Experience using CAT tools or translation/localization platforms.
• Strong background reviewing healthcare, clinical, medical, life sciences, or similarly regulated content.
• Ability to review both clinical education/professional-facing content and marketing/consumer-facing content.
• Solid understanding of terminology management, style guides, and localization best practices.
• Experience working with external translation vendors and cross-functional stakeholders.

Preferred

• Experience in medical devices, dental, orthodontics, clear aligners, pharma, cosmetics, lab, or regulated healthcare industries.
• Exposure to MT/AI post-editing or language technology initiatives.
• Based near Wrocław for occasional onsite collaboration.

Impact

This role ensures Polish content is accurate, consistent, compliant, and locally relevant while improving efficiency across localization workflows.

By strengthening terminology governance, consolidating stakeholder feedback, and improving vendor feedback loops, this person will help reduce review burden on internal teams and improve the speed and quality of localized communications.

🔹 What is Sigma?

Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the US, and the UK, and operations in more than 700 languages, we support top multinational clients in developing cutting-edge AI solutions.

👍 Soft Skills We Value

Are you a proactive professional who thrives on challenges, values collaboration, and approaches every task with empathy, integrity, and a passion for learning?

As part of our linguistic projects, your responsibilities may include

Categorization – Annotation – Correction – Transcription – Evaluation – Conversational interactions – Voice recording – Content creation – Localization – Validation of audio, video, images, sentences, or words.

🕒 All tasks are remote, performed through an online platform available 24/7. 📄 This opportunity is offered for freelancersunder a commercial contract.

We are looking for candidates with the following qualifications

• Fluent in Bengali (India) - Able to listen and write correctly without spelling mistakes
• Fluent in Hindi - Able to listen and write correctly without spelling mistakes
• Fluent in English - Able to listen and write correctly without spelling mistakes
• Computer literacy

Preferred (but not mandatory)

• Experience with one or more of the following: computational linguistics, corpus analysis, language data annotation, or LLM training
• Strong attention to detail

Computer

• Minimum 4GB RAM
• Microphone and webcam
• Operating system: Windows 10 or higher
• macOS 13 Ventura or higher
• All OS updates installed and supported by the vendor

Connectivity & Accessories

• Stable internet connection
• Headphones
• Secure internet location, protected by a strong password

For audio-collection projects only

• Mobile phone with Android OS

🚫 Tablets and iOS devices are not supported

📋 How to Apply

If you’re interested, click on “APPLY FOR THIS JOB” and follow the instructions.

After submitting your application, you will receive an email with the required tests to assess your qualifications. These tests are mandatory to move forward in the process.

📩 Check your inbox and spam folder, just in case!

🚫 Important Notes

• Sigma.AI does not hire through third parties. No agents’ intermediaries or third parties are authorized to represent benefit from or participate in any way in the relationship. To this effect the Candidate agrees to provide any documentation or information reasonably requested by the Company to verify their identity and credentials. Should the Candidate fail to provide enough evidence of their identity to Sigma´s satisfaction, Sigma shall be entitled to withhold or terminate any offer with the Candidate.
• The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the tests submitted in the course of the selection process (for instance the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services.

💬 Need Help?

We’re here for any questions or concerns.

Join us and be part of something global, innovative, and impactful.

🔹 What is Sigma?

Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the US, and the UK, and operations in more than 700 languages, we support top multinational clients in developing cutting-edge AI solutions.

👍 Soft Skills We Value

Are you a proactive professional who thrives on challenges, values collaboration, and approaches every task with empathy, integrity, and a passion for learning?

As part of our linguistic projects, your responsibilities may include

Categorization – Annotation – Correction – Transcription – Evaluation – Conversational interactions – Voice recording – Content creation – Localization – Validation of audio, video, images, sentences, or words.

🕒 All tasks are remote, performed through an online platform available 24/7. 📄 This opportunity is offered for freelancersunder a commercial contract.

We are looking for candidates with the following qualifications

• Fluent in Malayalam - Able to listen and write correctly without spelling mistakes
• Fluent in English - Able to listen and write correctly without spelling mistakes
• Computer literacy

Preferred (but not mandatory)

• Experience with one or more of the following: computational linguistics, corpus analysis, language data annotation, or LLM training
• Strong attention to detail

Computer

• Minimum 4GB RAM
• Microphone and webcam
• Operating system: Windows 10 or higher
• macOS 13 Ventura or higher
• All OS updates installed and supported by the vendor

Connectivity & Accessories

• Stable internet connection
• Headphones
• Secure internet location, protected by a strong password

For audio-collection projects only

• Mobile phone with Android OS

🚫 Tablets and iOS devices are not supported

📋 How to Apply

If you’re interested, click on “APPLY FOR THIS JOB” and follow the instructions.

After submitting your application, you will receive an email with the required tests to assess your qualifications. These tests are mandatory to move forward in the process.

📩 Check your inbox and spam folder, just in case!

🚫 Important Notes

• Sigma.AI does not hire through third parties. No agents’ intermediaries or third parties are authorized to represent benefit from or participate in any way in the relationship. To this effect the Candidate agrees to provide any documentation or information reasonably requested by the Company to verify their identity and credentials. Should the Candidate fail to provide enough evidence of their identity to Sigma´s satisfaction, Sigma shall be entitled to withhold or terminate any offer with the Candidate.
• The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the tests submitted in the course of the selection process (for instance the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services.

💬 Need Help?

We’re here for any questions or concerns.

Join us and be part of something global, innovative, and impactful.

🔹 What is Sigma?

Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the US, and the UK, and operations in more than 700 languages, we support top multinational clients in developing cutting-edge AI solutions.

👍 Soft Skills We Value

Are you a proactive professional who thrives on challenges, values collaboration, and approaches every task with empathy, integrity, and a passion for learning?

As part of our linguistic projects, your responsibilities may include

Categorization – Annotation – Correction – Transcription – Evaluation – Conversational interactions – Voice recording – Content creation – Localization – Validation of audio, video, images, sentences, or words.

🕒 All tasks are remote, performed through an online platform available 24/7. 📄 This opportunity is offered for freelancersunder a commercial contract.

We are looking for candidates with the following qualifications

• Fluent in Urdu (Pakistan) - Able to listen and write correctly without spelling mistakes
• Fluent in English - Able to listen and write correctly without spelling mistakes
• Computer literacy

Preferred (but not mandatory)

• Experience with one or more of the following: computational linguistics, corpus analysis, language data annotation, or LLM training
• Strong attention to detail

Computer

• Minimum 4GB RAM
• Microphone and webcam
• Operating system: Windows 10 or higher
• macOS 13 Ventura or higher
• All OS updates installed and supported by the vendor

Connectivity & Accessories

• Stable internet connection
• Headphones
• Secure internet location, protected by a strong password

For audio-collection projects only

• Mobile phone with Android OS

🚫 Tablets and iOS devices are not supported

📋 How to Apply

If you’re interested, click on “APPLY FOR THIS JOB” and follow the instructions.

After submitting your application, you will receive an email with the required tests to assess your qualifications. These tests are mandatory to move forward in the process.

📩 Check your inbox and spam folder, just in case!

🚫 Important Notes

• Sigma.AI does not hire through third parties. No agents’ intermediaries or third parties are authorized to represent benefit from or participate in any way in the relationship. To this effect the Candidate agrees to provide any documentation or information reasonably requested by the Company to verify their identity and credentials. Should the Candidate fail to provide enough evidence of their identity to Sigma´s satisfaction, Sigma shall be entitled to withhold or terminate any offer with the Candidate.
• The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the tests submitted in the course of the selection process (for instance the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services.

💬 Need Help?

We’re here for any questions or concerns.

Join us and be part of something global, innovative, and impactful.

In this hourly, remote contractor role, you will work as a Telugu Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Telugu AI training projects. You will review AI-generated Telugu content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.

You will assess work for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, meaning preservation, instruction-following, formatting, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong Telugu and English skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote teams.

This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Telugu quality leadership will directly help improve the world’s premier AI models by ensuring that Telugu training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations.

Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.

Responsibilities

• Quality monitoring: Spot-check Telugu items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around Telugu wording, register, translation fidelity, cultural context, Andhra Pradesh vs Telangana usage, and edge cases.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation: Create and maintain Telugu project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Telugu-specific style requirements.
• Quality alignment: Ensure all trainers and QAs apply Telugu language guidelines consistently and understand updates as projects evolve.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for Telugu-language projects.

Requirements

• Bachelor’s or Master’s degree in Mathematics
• Native or near-native Telugu proficiency with strong reading and writing skills.
• Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear feedback in English.
• 3+ years of professional experience in Telugu writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows.
• Strong understanding of Telugu grammar, spelling conventions, punctuation, tone, register, regional variation, and cultural context.
• Ability to evaluate Telugu content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, hallucinated claims, ambiguity, or inconsistent terminology.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred.
• Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, and other quality documentation.
• Experience with AI training, data annotation, large language models, prompt/response evaluation, or rubric-based LLM QA is a strong plus.

Skills

• LLM Evaluation
• Style Guides
• Documentation
• English
• AI Training
• Trainer Feedback
• Telugu
• Localization QA
• Telugu Quality Assurance
• Translation Quality Review

🔹 What is Sigma?

Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the US, and the UK, and operations in more than 700 languages, we support top multinational clients in developing cutting-edge AI solutions.

👍 Soft Skills We Value

Are you a proactive professional who thrives on challenges, values collaboration, and approaches every task with empathy, integrity, and a passion for learning?

As part of our linguistic projects, your responsibilities may include

Categorization – Annotation – Correction – Transcription – Evaluation – Conversational interactions – Voice recording – Content creation – Localization – Validation of audio, video, images, sentences, or words.

🕒 All tasks are remote, performed through an online platform available 24/7. 📄 This opportunity is offered for freelancersunder a commercial contract.

We are looking for candidates with the following qualifications

• Fluent in Cantonese Chinese - Able to listen and write correctly without spelling mistakes
• Fluent in English - Able to listen and write correctly without spelling mistakes
• Computer literacy

Preferred (but not mandatory)

• Experience with one or more of the following: computational linguistics, corpus analysis, language data annotation, or LLM training
• Strong attention to detail

Computer

• Minimum 4GB RAM
• Microphone and webcam
• Operating system: Windows 10 or higher
• macOS 13 Ventura or higher
• All OS updates installed and supported by the vendor

Connectivity & Accessories

• Stable internet connection
• Headphones
• Secure internet location, protected by a strong password

For audio-collection projects only

• Mobile phone with Android OS

🚫 Tablets and iOS devices are not supported

📋 How to Apply

If you’re interested, click on “APPLY FOR THIS JOB” and follow the instructions.

After submitting your application, you will receive an email with the required tests to assess your qualifications. These tests are mandatory to move forward in the process.

📩 Check your inbox and spam folder, just in case!

🚫 Important Notes

• Sigma.AI does not hire through third parties. No agents’ intermediaries or third parties are authorized to represent benefit from or participate in any way in the relationship. To this effect the Candidate agrees to provide any documentation or information reasonably requested by the Company to verify their identity and credentials. Should the Candidate fail to provide enough evidence of their identity to Sigma´s satisfaction, Sigma shall be entitled to withhold or terminate any offer with the Candidate.
• The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the tests submitted in the course of the selection process (for instance the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services.

💬 Need Help?

We’re here for any questions or concerns.

Join us and be part of something global, innovative, and impactful.

In this hourly, remote contractor role, you will work as a Telugu Language Specialist (SME) to review AI-generated Telugu content and/or create high-quality Telugu reference content, evaluating language quality and step-by-step reasoning while providing precise written feedback. You will assess outputs for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, and adherence to the prompt; identify errors in meaning, mistranslation, register (formal vs informal), ambiguity, and logical consistency; fact-check claims when needed; write high-quality rewrites and model answers that demonstrate best practices in Telugu writing; and rate and compare multiple AI responses based on correctness and overall quality.

This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Telugu expertise directly helps improve the world’s premier AI models by making their Telugu language output more natural, reliable, culturally accurate, and clearly written.

Responsibilities

• Develop AI Training Content: Create prompts and gold-standard Telugu answers across multiple domains (general knowledge, customer support, education, conversational writing).
• Optimize AI Performance: Evaluate and rank AI outputs to improve fluency, correctness, tone match, and cultural appropriateness.
• Ensure Model Integrity: Detect unsafe or misleading content, factual hallucinations, bias, and policy-risk language; validate reliability across use cases.

Requirements

• Bachelor’s degree (or higher) in Mathematics
• Native or near-native Telugu proficiency (reading and writing required).
• Strong professional proficiency in English (minimum C1) to follow guidelines and provide detailed feedback in English.
• 3+ years of professional experience in writing, editing, localization, translation, content QA, journalism, education, or related language-focused work.
• Deep understanding of Telugu grammar, spelling conventions, punctuation, and style - able to explain why something is wrong and how to fix it.
• Comfortable handling multiple registers (formal/informal), regional variation (e.g., Andhra Pradesh vs Telangana usage), and audience adaptation (India vs diaspora).
• High attention to detail when spotting subtle meaning shifts, awkward literal translations, hallucinated claims, or culturally mismatched phrasing.
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
• Prior experience with AI data training/annotation, translation QA, editorial QA, or rubric-based evaluation is strongly preferred.

Skills

• Grammar
• Tone & Register
• English
• Telugu
• Copyediting
• Proofreading
• Fact-Checking
• Translation Quality Review
• Localization
• Cultural Context
• Style

In this hourly, remote contractor role, you will work as a Kannada Language Specialist (SME) to review AI-generated Kannada content and/or create high-quality Kannada reference content, evaluating language quality and step-by-step reasoning while providing precise written feedback. You will assess outputs for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, and adherence to the prompt; identify errors in meaning, mistranslation, register (formal vs informal), ambiguity, and logical consistency; fact-check claims when needed; write high-quality rewrites and model answers that demonstrate best practices in Kannada writing; and rate and compare multiple AI responses based on correctness and overall quality.

This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Kannada expertise directly helps improve the world’s premier AI models by making their Kannada language output more natural, reliable, culturally accurate, and clearly written.

Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.

Responsibilities

• Develop AI Training Content: Create prompts and gold-standard Kannada answers across multiple domains (general knowledge, customer support, education, conversational writing).
• Optimize AI Performance: Evaluate and rank AI outputs to improve fluency, correctness, tone match, and cultural appropriateness.
• Ensure Model Integrity: Detect unsafe or misleading content, factual hallucinations, bias, and policy-risk language; validate reliability across use cases.

Requirements

• Bachelor’s degree (or higher) in Mathematics
• Native or near-native Kannada proficiency (reading and writing required).
• Strong professional proficiency in English (minimum C1) to follow guidelines and provide detailed feedback in English.
• 3+ years of professional experience in writing, editing, localization, translation, content QA, journalism, education, or related language-focused work.
• Deep understanding of Kannada grammar, spelling conventions, punctuation, and style - able to explain why something is wrong and how to fix it.
• Comfortable handling multiple registers (formal/informal), regional variation (e.g., Bengaluru/standard usage vs regional dialect influence), and audience adaptation (India vs diaspora).
• High attention to detail when spotting subtle meaning shifts, hallucinated claims, or culturally awkward phrasing.
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
• Prior experience with AI data training/annotation, translation QA, editorial QA, or rubric-based evaluation is strongly preferred.

Skills

• Grammar
• Kannada
• Copyediting
• Translation Quality Review
• Proofreading
• Cultural Context
• English
• Style
• Fact-Checking
• Localization
• Tone & Register

About Turing

Turing is one of the world's leading AGI infrastructure companies, working with frontier AI labs to accelerate model development through high-quality training data, evaluations, and engineering talent.

About the Role

We are seeking Life Sciences Subject Matter Experts to develop advanced scientific reasoning tasks for LifeSciBench. Unlike coding-focused benchmarks, this role emphasizes deep biological knowledge, scientific interpretation, and rigorous reasoning. You will create challenging questions based on realistic scientific scenarios, experimental results, biological data, figures, literature-style evidence, and research problems.

This is a non-code benchmark: tasks are not executed, and no programming is required. Who this is for. Life scientists who want to author rigorous scientific-reasoning problems with objectively defensible answers - no coding involved. If your strength is interpreting experiments, spotting ambiguity, and constructing questions that reward synthesis over recall, this is the fit. Who this isn't for. If you want to build tasks where agents write and execute code, see GeneBench Pro (genomics), Agentic Life Sciences (broad life-sciences workflows), or Terminal Bench Science (cross-STEM terminal tasks).

Key Responsibilities

• Design novel, challenging life sciences problems requiring advanced scientific reasoning.
• Create tasks grounded in realistic research scenarios, experiments, biological datasets, figures, sequences, structures, or scientific evidence.
• Develop clear questions with well-defined and objectively defensible answers.
• Write rigorous expert reference answers explaining the scientific reasoning required.
• Ensure tasks require synthesis and interpretation rather than simple factual recall.
• Validate all biological claims, calculations, assumptions, and conclusions.
• Identify ambiguity, alternative scientifically valid interpretations, and insufficiently constrained questions.
• Create tasks capable of distinguishing frontier AI models based on scientific reasoning ability.
• Ensure outputs are clearly documented and reproducible where applicable. • Maintain high quality and throughput while incorporating reviewer feedback. Note on inputs: Tasks may involve scientific text, structured data, sequences, experimental results, and other scientific evidence depending on project requirements.

Qualifications Required

• Ph.D., postdoctoral experience, or equivalent advanced research experience in the Life Sciences.
• Strong expertise in at least one biological discipline.
• Demonstrated ability to interpret scientific experiments, data, and research findings. Relevant backgrounds include
• Molecular Biology
• Genetics and Genomics
• Cell Biology
• Biochemistry
• Neuroscience
• Microbiology
• Immunology
• Evolutionary Biology
• Ecology
• Structural Biology
• Biophysics
• Developmental Biology
• Cancer Biology
• Pharmacology or related disciplines

Preferred

• Experience designing graduate-level scientific problems or assessments. Strong familiarity with experimental design and interpretation.
• Experience reviewing scientific manuscripts or research.
• Ability to translate complex scientific concepts into precise, self-contained problems.
• Experience evaluating LLM-generated scientific responses.

Bonus Points For

• Publications in strong peer-reviewed journals or conferences.
• Teaching or mentoring experience at the graduate level.
• Experience with AI/ML evaluation datasets

Job Title: English Voice Coach

Job Type: Contract

Location: Remote

Job Summary: We are looking for native English speakers from Ireland, Australia, and the United Kingdom to support an AI training project focused on evaluating English audio recordings. In this role, you will use your knowledge of natural speech, pronunciation, accents, and language to assess audio quality and provide accurate feedback.

Key Responsibilities

• Listen to and evaluate short English audio recordings.
• Assess whether speech sounds natural and native to the speaker's target accent or region.
• Evaluate pronunciation, accent, fluency, tone, and natural speech patterns.
• Identify inconsistencies or unnatural elements in spoken English.
• Provide clear and structured feedback on audio recordings.
• Follow project guidelines and maintain accuracy and consistency.

Required Skills and Qualifications

• Native-level English proficiency with strong knowledge of your native/regional English accent.
• Strong understanding of pronunciation and natural speech patterns.
• Excellent listening and analytical skills.
• Strong attention to detail.
• Ability to provide clear written feedback in English.
• Comfortable working independently in a remote environment.

Preferred Qualifications

• Experience in voice coaching, voice-over, or speech analysis.
• Background in music, audio engineering, or sound production.
• Experience in linguistics, phonetics, language teaching, media, or communications.
• Previous experience analyzing or evaluating speech/audio recordings is a plus.

About This Project

In this AdLoc project, you will be responsible for evaluating the quality of localized visual content, specifically videos and images. Your evaluation will primarily involve comparing the source and target assets, focusing on aspects such as Translation, Text Extraction, In-Painting, Rendering, and Text Group Tracking.

The primary objective is to verify that the localized content accurately preserves the original meaning, commercial intent, visual style, and formatting, while effectively communicating the message to the target audience in their language.

Requirements

• Requirements Native in the Target language.
• Proficient in the Source language, with the ability to accurately interpret content and assess linguistic issues.
• Detail-oriented and comfortable with linguistic and stylistic evaluation tasks as well as the technical aspect of this evaluation (synchronicity mainly).
• Basic understanding of transcription formats and media content review processes.
• Ability to understand and consistently apply complex client guidelines.
• Prior experience in transcription QA, subtitling, captioning, media localization, or related linguistic quality assurance projects is preferred

Compensation

$12 USD per hour.

Project Details

• Work Mode: Remote
• Location: Remote
• Language Pairs: Swedish (Sweden) -> English (United Kingdom)
• German (Germany) -> Polish (Poland)
• German (Germany) -> Danish (Denmark)
• German (Germany) -> Czech (Czech Republic)
• French (France) -> English (United Kingdom)
• French (Belgium) -> English (United Kingdom)
• French (France) -> Norwegian (Bokmal)
• English (United States) -> Norwegian (Bokmal)
• German (Germany) -> Norwegian (Bokmal)
• German (Germany) -> English (United Kingdom)
• German (Germany) -> Dutch (Netherlands)
• German (Germany) -> Turkish (Turkey)
• English (Canada) -> French (Canada)
• English (India) -> Kannada (India)
• French (Belgium) -> Dutch (Belgium)
• Spanish (Spain) -> English (United Kingdom)
• Spanish (Spain) -> Portuguese (Portugal)
• Japanese (Japan) -> English (United States)

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $14 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $19 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

This role is for one of our clients

Pay: 100–170/hour

Role Type: Contractor

Location: Remote, US-based only

We are seeking experienced U.S.-licensed lawyers across a broad range of legal practice areas to contribute to a project focused on improving the legal reasoning, accuracy, and judgment of advanced artificial intelligence systems.

In this role, you will apply your professional legal expertise to analyze complex legal scenarios, evaluate AI-generated legal work, and provide structured feedback to enhance the quality and reliability of AI-generated outputs. You will assess legal arguments, contracts, legal analyses, and other documents for accuracy, completeness, and sound reasoning.

This opportunity is well suited for practicing attorneys with strong analytical skills, exceptional legal writing abilities, and the ability to interpret laws, evaluate competing arguments, and exercise sound professional judgment in complex or ambiguous situations.

Key Responsibilities

• Legal Scenario Analysis: Analyze complex legal scenarios involving litigation, corporate transactions, regulatory requirements, and compliance matters. Identify relevant legal issues, applicable principles, potential risks, and critical facts.
• AI-Generated Legal Work Review: Evaluate AI-generated legal analyses, arguments, contracts, and other legal documents for factual accuracy, legal soundness, completeness, and practical relevance.
• Error Identification: Identify incorrect legal interpretations, unsupported conclusions, missing information, inconsistent reasoning, and weaknesses in legal arguments.
• Legal Reasoning and Judgment: Apply professional expertise to nuanced legal questions, considering relevant statutes, regulations, case law, factual circumstances, and competing interpretations.
• Quality Assessment: Assess AI-generated outputs against established evaluation criteria to determine their legal accuracy, consistency, and overall quality.
• Structured Feedback: Provide clear, detailed, and actionable corrections to improve the legal reasoning and reliability of AI systems.
• Documentation and Analysis: Communicate findings in a structured manner, explaining legal issues, reasoning gaps, and recommended improvements.
• Independent Execution: Manage assigned tasks independently while maintaining high standards of accuracy, confidentiality, and professional responsibility.

Required Qualifications

• Juris Doctor (J.D.) degree from an accredited U.S. law school.
• Active license to practice law in at least one U.S. state or the District of Columbia.
• More than 3 years of substantive legal practice experience following completion of the J.D.
• Strong legal reasoning, issue-spotting, analytical, and critical-thinking skills.
• Proven ability to interpret legal authorities, assess competing arguments, and identify substantive legal issues.
• Excellent legal writing, document review, and written English communication skills.
• Exceptional attention to detail and the ability to deliver accurate, well-supported assessments.
• Ability to work independently in a remote, contract-based environment.
• Sound professional judgment when evaluating complex, fact-sensitive, or ambiguous legal matters.

Must-Have Skills

• U.S. Bar Admission and Active Law License
• Legal Research and Analysis
• Legal Reasoning and Issue Spotting
• Legal Writing and Document Review
• Contract and Legal Document Analysis
• Critical Thinking and Risk Assessment
• AI-Generated Legal Output Evaluation
• Written Communication and Attention to Detail

Preferred Qualifications

Experience in one or more of the following legal practice areas is valuable:

• Litigation and Dispute Resolution
• Corporate and Commercial Law
• Employment and Labor Law
• Personal Injury and Insurance Law
• Criminal and Family Law
• Immigration Law
• Intellectual Property Law
• Healthcare and Regulatory Law
• Securities and Financial Services Law
• Real Estate and Property Law
• Tax Law
• Privacy and Data Protection
• Environmental and Administrative Law
• Compliance and Regulatory Affairs

Additional advantages include experience reviewing complex legal documents, evaluating competing legal arguments, identifying substantive legal errors, or conducting detailed legal quality assessments.

Familiarity with legal technology, AI-assisted legal research, or artificial intelligence evaluation workflows is beneficial but not required.

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $69 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

This role is for one of our clients

Pay: 150–200/hour

Role Type: Contractor

Location: Remote

We are seeking a detail-oriented Junior Data Scientist to contribute to the evaluation and improvement of advanced artificial intelligence systems. This opportunity is ideal for early-career data science professionals with strong analytical skills and a solid understanding of statistics, machine learning, experimentation, and quantitative reasoning.

In this role, you will evaluate AI-generated responses to data science and quantitative problems, develop expert-level prompts and datasets, and create reference solutions to assess the accuracy and reliability of AI models. You will identify statistical errors, flawed methodologies, and weaknesses in quantitative reasoning while providing structured feedback to improve model performance.

The ideal candidate combines practical data science knowledge with clear technical communication and a rigorous, evidence-based approach to problem-solving. Previous experience in AI development is not necessarily required.

Key Responsibilities

• AI Model Evaluation: Evaluate AI-generated outputs on data science, statistics, machine learning, experimentation, and quantitative analysis tasks.
• Problem and Prompt Development: Create challenging, well-defined prompts and technical problems that assess analytical reasoning and practical data science skills.
• Dataset Preparation: Prepare and validate relevant datasets for testing AI models across statistical and machine learning use cases.
• Reference Solution Development: Develop accurate reference answers, calculations, and analytical solutions to establish reliable evaluation benchmarks.
• Statistical Validation: Identify statistical errors, incorrect assumptions, flawed methodologies, and inappropriate interpretations of data.
• Quantitative Reasoning Assessment: Assess whether AI-generated solutions demonstrate sound mathematical reasoning, appropriate analytical methods, and evidence-based conclusions.
• Structured Feedback: Provide clear, actionable feedback highlighting errors, missing steps, and opportunities to improve the accuracy and reliability of AI-generated outputs.
• Quality Assurance: Validate analytical results, review solution consistency, and ensure that evaluation criteria are objective and reproducible.
• Technical Documentation: Explain statistical concepts, analytical approaches, and evaluation findings in a clear and structured manner.

Required Qualifications

• At least one year of professional experience at a well-established company in technology, finance, research, or a related field.
• At least part of the relevant professional experience should have been gained within the past three years.
• Foundational knowledge of data science, statistics, machine learning, and quantitative analysis.
• Strong analytical and problem-solving skills, with the ability to evaluate data-driven conclusions critically.
• Understanding of statistical methods, experimental design, data interpretation, and model evaluation.
• Ability to identify incorrect calculations, methodological weaknesses, and unsupported conclusions.
• Strong written communication skills, particularly when explaining technical and statistical concepts.
• Ability to work independently, follow evaluation guidelines, and deliver accurate, high-quality assessments.

Must-Have Skills

• Data Science Fundamentals
• Statistics and Probability
• Machine Learning Fundamentals
• Quantitative Reasoning
• Data Analysis and Interpretation
• Statistical Methodology
• Analytical Problem-Solving
• Technical Writing and Documentation

Good-to-Have Skills

• Python Programming
• SQL and Data Manipulation
• Pandas, NumPy, and scikit-learn
• Experimental Design and Hypothesis Testing
• Predictive Modeling and Model Evaluation
• Dataset Creation and Validation
• AI Model Evaluation and Benchmarking
• Experience in Technology, Finance, or Research Organizations

Preferred Qualifications

• Experience working at a recognized technology company, financial institution, or research organization.
• Professional exposure to statistical analysis, machine learning projects, quantitative research, or data-driven decision-making.
• Familiarity with evaluating AI-generated answers or validating analytical solutions.
• Ability to communicate complex quantitative concepts in clear, concise English.
• Candidates based in English-speaking countries are preferred.

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $36 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

This role is for one of our clients

Pay: 150–200/hour

Role Type: Contractor

Location: Remote

We are seeking a motivated and detail-oriented Junior Software Engineer to contribute to the evaluation and improvement of advanced artificial intelligence systems. This opportunity is ideal for early-career software engineers with strong programming fundamentals, analytical thinking, and practical experience developing and reviewing software applications.

In this role, you will evaluate AI-generated code for correctness, quality, efficiency, and design. You will create challenging programming problems, develop reference solutions and test cases, and assess AI models' ability to solve real-world software engineering challenges. You will also review technical reasoning related to debugging, architecture, and system design, providing structured feedback to improve the reliability and performance of AI-generated solutions.

The ideal candidate has professional software engineering experience, a solid understanding of programming principles, and the ability to explain technical decisions clearly. Prior experience in artificial intelligence is not required.

Key Responsibilities

• AI-Generated Code Evaluation: Review AI-generated code for functional correctness, readability, maintainability, efficiency, and adherence to software engineering best practices.
• Coding Problem Development: Design challenging programming problems that assess algorithmic thinking, debugging skills, implementation quality, and practical engineering judgment.
• Reference Solution Creation: Develop accurate, well-structured reference solutions that demonstrate effective approaches to solving software engineering problems.
• Test Case Development: Create comprehensive test cases to validate functionality, identify edge cases, and detect incomplete or incorrect implementations.
• Technical Reasoning Assessment: Evaluate AI-generated explanations and decisions involving software architecture, system design, debugging, and implementation strategies.
• Code Quality Analysis: Identify bugs, inefficient algorithms, poor design choices, security concerns, and violations of established coding standards.
• Technical Feedback: Provide detailed, actionable feedback explaining errors, weaknesses, and opportunities to improve code quality and model performance.
• Documentation: Clearly document problem requirements, expected behavior, solution approaches, testing procedures, and technical evaluation findings.
• Quality Assurance: Ensure that coding tasks, reference solutions, and evaluation criteria are accurate, consistent, and reproducible.

Required Qualifications

• At least one year of professional experience as a software engineer at a well-established technology company.
• At least part of the relevant professional experience should have been gained within the past three years.
• Strong understanding of programming fundamentals, data structures, algorithms, and object-oriented programming.
• Practical experience writing, debugging, testing, and reviewing code.
• Familiarity with software development practices, including version control, code reviews, testing, and debugging.
• Ability to assess code for correctness, performance, readability, and maintainability.
• Foundational understanding of software architecture and system design principles.
• Strong analytical and problem-solving skills.
• Excellent written communication skills, with the ability to explain technical decisions and complex engineering concepts clearly.
• Ability to work independently and deliver accurate, high-quality technical assessments.

Must-Have Skills

• Software Engineering Fundamentals
• Programming and Coding
• Data Structures and Algorithms
• Code Review and Quality Assessment
• Debugging and Troubleshooting
• Automated Testing and Test Case Development
• Problem-Solving and Logical Reasoning
• Technical Documentation and Written Communication

Good-to-Have Skills

• Python, Java, C++, JavaScript, TypeScript, Go, or similar programming languages
• Object-Oriented Programming and Design Patterns
• API Development and Backend Engineering
• Software Architecture and System Design
• Performance Optimization and Profiling
• Git and Version Control
• Unit Testing and Integration Testing
• CI/CD and Software Development Workflows
• AI-Generated Code Evaluation
• Familiarity with AI coding assistants and model benchmarking

Preferred Qualifications

• Professional software engineering experience at a recognized technology company.
• Experience developing and maintaining production-quality applications, services, or APIs.
• Familiarity with reviewing complex codebases and identifying implementation weaknesses.
• Experience designing coding exercises, technical assessments, or automated evaluation tests.
• Candidates based in English-speaking countries are preferred.
• Ability to communicate technical findings in clear, structured, and concise English.

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $17 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

This role is for one of our clients

Pay: 50–100/hour

Role Type: Contractor

Location: Anywhere in the world, remote

Estimated Time Commitment: Approximately 15 hours per task run

Start Timeline: Within 24–48 hours of onboarding

We are seeking experienced Software Engineers and Open Source Contributors to help develop and evaluate next-generation AI systems through high-quality software engineering tasks. This opportunity is ideal for developers with strong programming fundamentals, practical experience contributing to open-source projects, and a proven ability to solve complex engineering problems.

In this role, you will design realistic, challenging, and reproducible coding environments that assess an AI model's ability to fix bugs, implement new features, refactor existing code, and optimize software performance. You will also develop reliable verification mechanisms and golden reference solutions to evaluate whether AI-generated code meets the specified requirements.

Prior experience in artificial intelligence is not required. Your software engineering expertise, code quality standards, debugging skills, and open-source contributions will be central to the role.

Key Responsibilities

• Coding Task Development: Create realistic, technically challenging programming tasks involving bug fixes, feature development, code refactoring, and performance optimization.
• Reproducible Environment Setup: Build deterministic reinforcement learning environments with the necessary dependencies, test suites, configurations, and execution instructions.
• Reference Solution Implementation: Develop reliable golden reference solutions that demonstrate the expected behavior and satisfy all task requirements.
• Automated Verification: Design deterministic evaluators and test cases that accept valid implementations while rejecting incorrect, incomplete, or non-compliant solutions.
• Software Debugging: Investigate complex software defects, troubleshoot unexpected behavior, and resolve performance bottlenecks across diverse codebases.
• Feature Engineering: Implement robust and scalable features while following established software development principles and coding standards.
• Code Refactoring and Optimization: Improve existing codebases by enhancing readability, maintainability, execution efficiency, and long-term reliability.
• Code Review and Validation: Review code contributions and technical submissions for correctness, clarity, performance, and adherence to best practices.
• Technical Documentation: Document problem statements, implementation decisions, debugging strategies, testing procedures, and solution reasoning to support high-quality AI training and evaluation.
• Continuous Improvement: Refine tasks and evaluation criteria based on observed model behavior and identified weaknesses.

Required Qualifications

• Strong software engineering experience in one or more programming languages, including Python, Java, C++, Go, Rust, or TypeScript.
• Demonstrated experience developing backend systems, scalable services, APIs, or complex software applications.
• A clear track record of open-source contributions, preferably supported by a GitHub profile or equivalent public portfolio.
• Strong understanding of data structures, algorithms, software design principles, and debugging techniques.
• Practical experience with automated testing, code validation, and software quality assurance.
• Ability to identify and resolve complex bugs, implementation errors, and performance bottlenecks.
• Experience developing new features and improving existing codebases.
• Strong analytical thinking, problem-solving, documentation, and technical communication skills.
• Ability to work independently, follow detailed technical specifications, and deliver reproducible, verifiable solutions.
• Interest in AI systems and understanding how software engineering expertise can support AI model training and evaluation.

Must-Have Skills

• Software Engineering
• Open Source Contributions
• Backend Development and API Design
• Python, Java, C++, Go, Rust, or TypeScript
• Debugging and Troubleshooting
• Data Structures and Algorithms
• Automated Testing and Code Validation
• Code Review and Refactoring
• Performance Optimization

Good-to-Have Skills

• Experience with large-scale or legacy codebases
• Reinforcement Learning Environment Development
• Deterministic Testing and Automated Evaluation
• CI/CD and Development Tooling
• Scalable Distributed Systems
• Performance Profiling and Optimization
• Complex Feature Implementation
• AI Model Evaluation and Coding Agent Assessment
• Public GitHub repositories or notable open-source projects

Opportunity Snapshot

• Time Commitment: Approximately 15 hours per task run, depending on complexity and individual workflow.
• Flexible Schedule: Work with flexibility while meeting task requirements and weekly submission minimums.
• Getting Started: Selected candidates receive onboarding instructions and the resources required to begin.
• Portfolio Requirement: A public GitHub profile or another portfolio demonstrating relevant open-source contributions is preferred.
• Alternative Assessment: Candidates whose public portfolios do not sufficiently demonstrate their skills may be required to complete a HackerRank technical assessment.
• Compensation: Payment is based on completed tasks that meet the specified quality and acceptance criteria.

Selection Process

• Application: Submit your application and complete the initial screening questions.
• AI Interview: Complete an approximately 20-minute interview focused on your technical experience and problem-solving approach.
• Technical Assessment: Complete a HackerRank assessment if your portfolio does not adequately demonstrate the required expertise.
• Hiring Manager Review: Your application, technical capabilities, and assessment results will be reviewed.
• Onboarding: Selected candidates receive onboarding materials and instructions for beginning their assignments.

Candidates are expected to complete interviews and assessments independently so their technical judgment and problem-solving abilities can be evaluated accurately.

Expected Availability

The selection process may move quickly, with positions often filled within approximately 48 hours. Successful candidates should be prepared to begin their first tasks within 24–48 hours after completing onboarding.

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $17 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $31 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

Role Details

• Employment Type: Contract
• Location: Bangladesh, India, Pakistan, Indonesia, Egypt, Ghana, Nigeria, Turkey, Brazil, and Colombia
• Contract Duration: 5 weeks
• Start Date: Immediate
• Work Commitment: 40 hours per week, with at least 4 hours of daily overlap with Pacific Standard Time (PST)
• Compensation: $300 per approved task
• Average Task Completion Time: 6–8 hours
• Contract Benefits: No medical benefits or paid leave

About the Role

We are seeking highly qualified Physical Sciences Experts to develop realistic, terminal-based scientific computing tasks for AI benchmarking and evaluation. The role involves translating authentic workflows from physics, chemistry, materials science, astronomy, and computational science into reproducible, technically rigorous benchmark environments.

You will develop scientific inputs, computational models, executable reference solutions, automated tests, and objective grading criteria. Your work will help assess whether AI agents can reason through complex scientific problems, use command-line tools effectively, debug calculations, execute simulations, and generate accurate, reproducible scientific outputs.

The ideal candidate combines advanced academic or research expertise in a relevant physical-science discipline with strong programming skills and practical experience in computational modeling, numerical analysis, and scientific data processing.

Requirements

Core Scientific Domains

Candidates should have expertise in at least one of the following areas:

• Physics and computational physics
• Chemistry and computational chemistry
• Materials science and materials modeling
• Astronomy and cosmology
• Thermodynamics
• Quantum mechanics
• Statistical mechanics
• Numerical and computational science

Key Responsibilities

• Scientific Task Design: Develop challenging, multi-step terminal-based tasks based on authentic physical-science research and computational workflows.
• Environment Development: Build self-contained, reproducible computational environments with appropriate scientific software, dependencies, and configurations.
• Scientific Input Preparation: Create datasets, molecular structures, simulation parameters, experimental data, and model configurations.
• Reference Solution Development: Implement reliable scientific solutions using Python, Bash, C/C++, Julia, or other relevant programming languages and domain-specific tools.
• Automated Testing: Develop tests to validate numerical accuracy, physical consistency, convergence, expected output structures, and task completion.
• Computational Modeling: Design tasks involving simulations, numerical modeling, data fitting, optimization, spectroscopy, molecular analysis, and scientific visualization.
• Scientific Validation: Define appropriate units, numerical tolerances, boundary conditions, physical constraints, and expected scientific behavior.
• Reproducibility: Ensure tasks execute reliably in controlled environments without requiring runtime downloads or undocumented dependencies.
• Debugging and Optimization: Troubleshoot dependency conflicts, numerical precision issues, solver instability, computational performance, and file-format problems.
• Documentation: Clearly communicate scientific assumptions, computational methods, expected outputs, edge cases, and limitations to reviewers.

Required Qualifications

• A PhD in Engineering or a relevant physical-science discipline, or postdoctoral experience or equivalent advanced technical experience in a relevant field.
• Strong expertise in at least one core domain, such as physics, chemistry, materials science, astronomy, cosmology, or computational science.
• Proficiency in Python, C/C++, Julia, Bash, or another programming language used for scientific computing.
• Experience with numerical methods, scientific simulations, computational modeling, or quantitative data analysis.
• Familiarity with Linux and terminal-based development environments.
• Ability to independently develop, debug, and validate scientific computational workflows.
• Strong understanding of physical units, numerical precision, scientific constraints, and reproducibility.
• Excellent analytical, problem-solving, and technical communication skills.

Preferred Qualifications

• Experience with scientific computing libraries such as NumPy, SciPy, pandas, Matplotlib, SymPy, or JAX.
• Familiarity with molecular dynamics, quantum chemistry, finite-difference methods, Monte Carlo simulations, optimization, or statistical modeling.
• Experience with domain-specific tools such as OpenMM, ASE, RDKit, Psi4, LAMMPS, or GROMACS.
• Familiarity with Docker, Conda, Git, continuous integration systems, and automated testing frameworks.
• Experience with high-performance computing (HPC) systems or computationally intensive scientific workloads.

Additional Advantages

• Experience evaluating AI coding agents or terminal-based AI systems.
• Background in research software engineering or scientific benchmark development.
• Experience creating automated graders and objective evaluation frameworks.
• Publications or open-source contributions in computational science or related research areas.
• Experience converting experimental or research workflows into reproducible computational packages.

Contract and Compensation Details

This is a 5-week, full-time contractor assignment requiring 40 hours of work per week and at least 4 hours of daily overlap with PST.

Compensation follows a pay-per-task model, with $300 paid for each approved task that meets the project's specifications and acceptance criteria. Each task is expected to take approximately 6–8 hours on average, depending on complexity.

The contract does not include medical benefits or paid leave. Candidates must be available to start immediately and commit to the required schedule throughout the engagement.

Selection Process

• Interest Check Form: Complete the initial application and confirm interest in the assignment.
• Mandatory Screening Assessment: Complete the Terminal Bench screening test, lasting approximately 20 minutes.
• Specialized Physical Sciences Assessment: Complete one 40-minute assessment in the relevant subject area:
• Astronomy and Cosmology
• Physics
• Materials Science
• Chemistry
• Delivery Manager Review: The application and assessment results will be reviewed before the final selection decision.

Total assessment time: Approximately 60 minutes, comprising the mandatory 20-minute screening test and one 40-minute subject-specific test. Candidates should take only one specialized assessment after completing the screening test.

Important Application Instructions

• Candidates must use the same email address for the Interest Check Form and the agency portal submission.
• Applicants should be ready to begin immediately and meet the full-time availability requirements.

This role is for one of our clients

Pay: 70–90/hour

Role Type: Contractor

Location: Remote

We are seeking a detail-oriented Junior Transactional Attorney for a part-time opportunity at the intersection of legal practice and artificial intelligence. This role is ideal for early-career lawyers with foundational experience in transactional legal work, particularly contract drafting, reviewing, and redlining within the technology or corporate sector.

As part of this role, you will contribute your legal expertise to the training and evaluation of advanced AI systems designed for contract review and negotiation. You will assess AI-generated responses to legal scenarios, perform simulated contract negotiations, and provide structured feedback to improve the accuracy, consistency, and quality of AI-driven legal solutions.

This position offers an opportunity to apply practical legal judgment to emerging technologies while collaborating with professionals across legal, product, and research teams.

Key Responsibilities

• Contract Drafting and Redlining: Perform simulated contract negotiations, review contractual language, and conduct redlining exercises to identify risks and recommend appropriate revisions.
• AI Response Evaluation: Review AI-generated responses to contract-related scenarios and assess their legal accuracy, relevance, completeness, and practical applicability.
• Legal Quality Assessment: Apply defined evaluation frameworks, grading rubrics, and assessment criteria to evaluate AI performance on transactional legal tasks.
• Risk Identification: Identify contractual risks, ambiguous provisions, unfavorable terms, and potential compliance concerns, providing clear recommendations for improvement.
• Feedback and Documentation: Deliver structured, actionable feedback to improve AI models' understanding of contractual language, legal reasoning, and negotiation strategies.
• Cross-Functional Collaboration: Work with product, engineering, and research teams to refine datasets, evaluation guidelines, and best practices for AI-powered contract review.
• Consistency and Quality Control: Ensure evaluations are objective, detailed, and consistent with established legal standards and task-specific guidelines.

Required Qualifications

• 1–3 years of experience in transactional legal work at a law firm or within an in-house legal team.
• Foundational experience in drafting, reviewing, negotiating, and redlining commercial agreements.
• Familiarity with contractual documents such as Master Services Agreements (MSAs), Non-Disclosure Agreements (NDAs), and other commercial contracts.
• Strong understanding of contractual provisions, legal terminology, risk allocation, and negotiation principles.
• Excellent written and verbal communication skills, with exceptional attention to detail.
• Strong analytical and critical-thinking abilities, including the ability to explain legal reasoning and translate it into actionable feedback.
• Interest in legal technology, artificial intelligence, and the application of AI to transactional legal workflows.
• Ability to work independently while collaborating effectively with cross-functional teams in a dynamic environment.

Must-Have Skills

• Transactional Law
• Contract Drafting and Review
• Contract Redlining
• Commercial Agreements
• MSA and NDA Review
• Legal Research and Analysis
• Contract Risk Assessment
• Written Communication and Attention to Detail

Good-to-Have Skills

• Legal AI and Legal Technology
• AI Model Evaluation and Training
• Corporate Law Firm Experience
• Mergers and Acquisitions (M&A)
• Fund Formation
• Contract Negotiation
• Legal Data Annotation and Quality Assessment
• Experience with technology-sector agreements

Preferred Qualifications

• Previous exposure to legal AI products, legal technology platforms, or AI training and evaluation initiatives.
• Internship or professional experience at a corporate law firm.
• Exposure to M&A transactions, fund formation, or other complex corporate legal matters.
• Experience evaluating legal documents against structured criteria or established review guidelines.

Why Consider This Opportunity?

• Work at the intersection of law and technology: Apply your transactional legal expertise to emerging AI applications.
• Influence legal AI development: Help improve how AI systems interpret contracts, identify risks, and support legal decision-making.
• Expand your professional experience: Develop expertise in legal AI evaluation, contract analysis, and technology-enabled legal workflows.
• Collaborate across disciplines: Work with legal, product, and research professionals to improve AI-driven contract review solutions.
• Flexible part-time engagement: Contribute your expertise while maintaining flexibility in your professional schedule.

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $9 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

This role is for one of our clients

We are seeking experienced Computational Life Sciences Experts with strong scientific programming skills to design, develop, and validate complex tasks for training and evaluating advanced AI agents. This role focuses on creating realistic, multi-step scientific workflows that require AI systems to independently inspect scientific data, write and execute code, use computational tools, troubleshoot intermediate results, and produce scientifically accurate, verifiable outputs.

The objective is to evaluate whether AI agents can perform authentic computational life sciences research rather than simply answer scientific questions or reproduce memorized information. Successful candidates will combine advanced life sciences expertise with practical programming and computational research experience to develop rigorous, reproducible, and objectively assessable tasks.

Job Details

• Role: Agentic Life Science Expert
• Employment Type: Contractor assignment
• Eligible Locations: Argentina, Bangladesh, Brazil, Colombia, Egypt, Nigeria, Ghana, India, Pakistan, Indonesia, Turkey, Chile, Peru, Sri Lanka, Saudi Arabia, Nepal, and Mexico
• Start Date: Immediate
• Engagement Duration: Not specified in the source requirements
• Work Commitment: Full-time, 40 hours per week
• Time Zone Requirement: At least 4 hours of daily overlap with US Pacific Time (PST)
• Compensation: USD 280 per approved task
• Average Task Handling Time: 6–8 hours

Key Responsibilities

• Illustration and Sketching: Create high-quality illustrations, sketches, characters, environments, and visual compositions based on project briefs and creative guidelines.
• Style Adaptation: Reproduce and adapt a wide range of artistic styles while maintaining visual accuracy, consistency, and attention to detail.
• Visual Quality Control: Ensure appropriate composition, lighting, color balance, textures, shading, and rendering quality across all deliverables.
• Creative Interpretation: Translate written instructions and visual references into compelling artwork that meets the intended aesthetic and project objectives.
• Artistic Variations: Develop multiple versions of illustrations while preserving the required style, composition, and key visual elements.
• Documentation and Metadata: Maintain clear documentation of prompts, artistic decisions, style references, and relevant metadata associated with each output.
• Collaboration and Feedback: Work effectively with project teams, incorporate feedback, and refine artwork according to quality standards.
• Production Readiness: Review final illustrations for completeness, consistency, and adherence to specifications before submission.
• Deadline Management: Manage multiple assignments efficiently while maintaining high standards of creativity and execution.

Required Artistic Expertise

Candidates should demonstrate versatility in several of the following illustration styles:

• Sketching and Drawing: Pencil sketches, hand-drawn illustrations, line art, and detailed drawings.
• Cinematic and Film Noir: Dramatic lighting, atmospheric compositions, high-contrast visuals, and cinematic storytelling.
• Steampunk: Mechanical designs, industrial aesthetics, vintage technology, and intricate detailing.
• Surreal, Dreamlike, and Psychedelic Art: Imaginative compositions, abstract elements, unusual perspectives, and experimental visuals.
• Cyberpunk and Science Fiction: Futuristic environments, advanced technology, dystopian settings, and sci-fi character design.
• Art Deco and Art Nouveau: Decorative patterns, ornamental details, stylized forms, and distinctive historical aesthetics.
• Vintage and Retro Art: Nostalgic illustration styles, retro-inspired compositions, and period-specific visual treatments.
• Glitch and Vaporwave: Digital distortion effects, unconventional color palettes, retro-futuristic aesthetics, and experimental digital art.

Required Qualifications

• At least 3 years of professional experience as an Illustrator, Sketch Artist, Cartoonist, Concept Artist, or in a closely related role.
• A strong portfolio demonstrating versatility across multiple illustration styles and techniques.
• Excellent understanding of composition, color theory, lighting, perspective, texture, and visual storytelling.
• Proven ability to illustrate, paint, and render characters, scenes, objects, and environments.
• Ability to accurately reproduce artistic styles and follow detailed creative specifications.
• Proficiency in digital illustration workflows and relevant creative software.
• Strong written and verbal communication skills.
• Excellent attention to detail, organization, and time management.
• Ability to work independently, incorporate feedback, and meet deadlines in a remote environment.

Preferred Tools and Software

Experience with one or more of the following tools is preferred

• Adobe Photoshop: Digital painting, image editing, texturing, and illustration.
• Procreate: Digital drawing, sketching, and painting.
• Adobe Illustrator: Vector illustration and scalable graphic artwork, where required.
• Affinity Suite: Digital illustration, image editing, and creative design.
• Clip Studio Paint: Illustration, character design, sketching, and line art.

Candidates should be comfortable selecting the appropriate tools and techniques based on the artistic style and requirements of each assignment.

Engagement and Work Schedule

This is a 4-week, full-time contractor assignment requiring 40 hours of work per week, with at least 4 hours of daily overlap with PST.

The engagement follows a pay-per-task compensation model. The exact candidate payment rate has not been specified and should be confirmed before the assignment begins. The contract does not include medical benefits or paid leave.

Selection Process

• Interest Check Form (ICF): Submit the initial application and confirm availability.
• Delivery Review: The submitted profile, portfolio, artistic capabilities, and overall suitability will be reviewed before selection.

Candidates should ensure that their portfolio clearly demonstrates their illustration skills, artistic versatility, and ability to work across the required styles.

This role is for one of our clients

Pay: 60–120/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Work Schedule: Flexible - choose your preferred working hours and days, including weekends.

We are looking for a Competitive Data Scientist (Kaggle) with strong expertise in data science, machine learning, statistical modeling, and applied mathematics. The ideal candidate will have demonstrated experience participating in data science and machine learning competitions, such as Kaggle, DrivenData, or similar platforms.

In this role, you will use your competition experience, analytical thinking, and programming skills to design challenging, well-defined coding and data science tasks that require rigorous reasoning rather than plausible or superficial answers. You will build reproducible environments, develop verified reference solutions, and create robust evaluation mechanisms to assess the correctness and quality of AI-generated solutions.

This opportunity is ideal for individuals who enjoy solving complex technical problems, experimenting with different approaches, debugging code, and evaluating the performance of AI coding systems.

Key Responsibilities

• Task Development: Design challenging data science, machine learning, and mathematical modeling tasks based on real-world problems and competitive programming experience.
• Environment Setup: Build reproducible execution environments, prepare datasets, configure dependencies, and ensure consistent task execution.
• Reference Solutions: Implement accurate, efficient, and verifiable reference solutions for each task.
• Testing and Evaluation: Develop automated tests, validation criteria, and evaluation frameworks that distinguish correct solutions from incomplete, inefficient, or flawed implementations.
• AI Agent Evaluation: Run AI coding agents against designed tasks, analyze their performance, investigate failure patterns, and refine task specifications based on observed results.
• Debugging and Quality Assurance: Identify implementation bugs, incorrect assumptions, data leakage, methodological weaknesses, and other issues that compromise solution quality.
• Technical Documentation: Clearly document problem statements, expected outputs, solution methodologies, dependencies, and verification procedures.
• Continuous Improvement: Improve task complexity, reproducibility, and evaluation reliability through iterative testing and experimentation.

Required Qualifications

• Demonstrated experience in data science, machine learning, quantitative modeling, applied mathematics, or a related technical field.
• Participation in competitive data science or machine learning platforms, such as Kaggle, DrivenData, Zindi, AIcrowd, Numerai, DataSource.ai, or CodaLab/Codabench.
• Strong analytical reasoning and the ability to break down complex problems into structured, testable solutions.
• Practical programming skills sufficient to independently implement, test, debug, and validate technical solutions.
• Understanding of statistical methods, predictive modeling, data preprocessing, feature engineering, and model evaluation.
• Ability to identify data leakage, overfitting, flawed assumptions, and methodological errors.
• Experience evaluating model performance and validating results against reliable benchmarks.
• Strong attention to detail and the ability to communicate technical reasoning clearly.

Must-Have Skills

• Competitive Data Science
• Kaggle Competitions
• Machine Learning
• Python Programming
• Statistical Analysis and Mathematical Reasoning
• Data Modeling and Model Evaluation
• Testing, Debugging, and Solution Validation

Good-to-Have Skills

• Experience with DrivenData, Zindi, AIcrowd, Numerai, or similar competition platforms.
• Strong Python development skills, including working with unfamiliar codebases.
• Experience with pandas, NumPy, scikit-learn, PyTorch, or TensorFlow.
• Knowledge of automated testing, reproducible environments, and dependency management.
• Experience developing evaluation benchmarks and automated grading systems.
• Familiarity with AI coding agents, LLM-based development tools, and agent evaluation.
• Experience in quantitative research, optimization, feature engineering, and advanced statistical modeling.

Work Arrangement

This role offers a flexible schedule, allowing you to choose when and how many days you work, including weekends if preferred. You will have the opportunity to apply your competition experience to challenging technical problems while contributing to the evaluation and improvement of AI systems.

This role is for one of our clients

Pay: 30–100/hour

Job Type: Contractor (~15 hrs a week)

Location: Remote

Schedule: Flexible, you pick the hours and days (including weekends if desired)

Required Skills: Python3, Java, Rust, Algorithms, Basics of C++, TypeScript, Bug fixing, Feature implementation, Codebase refactoring, Performance optimization, Pentesting, Security audit

We are seeking a skilled Backend Security Engineer to contribute to the development and evaluation of next-generation AI systems. In this role, you will use your expertise in backend engineering and application security to create realistic, complex coding tasks that assess AI systems' ability to solve real-world software engineering challenges.

You will design tasks involving backend feature implementation, bug fixes, secure coding, vulnerability remediation, and code quality improvements. You will also develop deterministic verification mechanisms that reliably accept valid solutions meeting the specified requirements and reject incorrect or incomplete implementations.

Prior experience working in AI is not required. Strong backend engineering capabilities, security expertise, and sound technical judgment are the key qualifications for success.

Key Responsibilities

• Backend Engineering: Design, develop, modify, and debug backend services, APIs, and application components.
• Security-Focused Task Development: Create challenging coding tasks involving secure software development, vulnerability fixes, authentication, authorization, and backend security controls.
• Automated Verification: Implement deterministic verifiers and automated tests to validate code behavior, functional correctness, and adherence to task requirements.
• Application Security: Identify and address security vulnerabilities using established practices, including OWASP guidelines and Common Weakness Enumeration (CWE) classifications.
• Code Review and Analysis: Review software implementations for correctness, security risks, performance, maintainability, and adherence to engineering standards.
• Debugging and Optimization: Investigate software defects, performance bottlenecks, and complex system failures in large-scale applications.
• Code Refactoring: Improve existing codebases through refactoring, architectural enhancements, and implementation of complex backend features.
• AI Evaluation: Develop high-quality engineering tasks that help evaluate and improve AI systems' software development, debugging, and security reasoning capabilities.

Required Qualifications

• Strong backend development experience using Java, Node.js, Go, Rust, TypeScript, Python, C++, or similar programming languages.
• Proven experience building scalable backend services, APIs, and production-grade applications.
• Strong debugging, automated testing, performance optimization, and code review skills.
• Solid understanding of software architecture, algorithms, data structures, and fundamental computer science concepts.
• Ability to identify software defects, diagnose system bottlenecks, and implement reliable solutions.
• Strong analytical thinking, problem-solving, and technical communication skills.
• Ability to work independently and exercise sound engineering judgment when solving complex technical problems.

Preferred Qualifications

• Professional experience in cybersecurity, application security (AppSec), or Security Operations (SecOps).
• Hands-on experience with penetration testing, vulnerability assessments, and security-focused code reviews.
• Knowledge of secure coding practices, OWASP Top 10, CWE classifications, and common software vulnerabilities.
• Experience identifying and remediating security flaws in backend services, APIs, and large-scale applications.
• Familiarity with security testing, automated validation, and vulnerability remediation workflows.
• Experience refactoring complex codebases and improving application reliability, scalability, and security.

Assessment and Selection Process

Candidates are expected to complete interviews and assessments independently, without outside assistance. The same standard applies to project work, where individual expertise, technical judgment, and problem-solving ability are essential.

The selection process includes

• Application submission and completion of screening questions.
• An AI interview lasting approximately 30 minutes.
• A technical assessment, if required.
• Hiring manager review.

Compensation Structure

Compensation is output-based, with payment provided for each task that meets the defined project specifications and quality standards. Completion time may vary depending on task complexity, the engineer's experience, and individual workflow.

Minimum submission requirements apply, and selected engineers must submit a specified minimum number of tasks each week.

Start Timeline and Availability

The hiring process typically moves quickly, with positions often filled within 48 hours. Candidates should be ready to begin immediately. Following selection and onboarding, successful candidates are expected to start their first tasks within 24–48 hours.

This role is for one of our clients

Pay: 50–100/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible - you choose the hours and days you work, including weekends if desired, as long as there is activity.

Required Skills: Python, React, JavaScript, Java, Node.js, Rust, Golang, TypeScript

We are looking for highly skilled Full-Stack Software Engineers to contribute to an AI training project involving software development, technical problem-solving, debugging, system architecture, and code evaluation.

We are seeking an experienced Senior Full-Stack Software Engineer with strong hands-on expertise across both front-end and back-end development. The role involves creating, solving, reviewing, and validating complex software-engineering tasks across the application stack, as well as translating complete software implementations from one programming language to another.

The ideal candidate should have substantial experience building and maintaining production-grade applications, working across multiple programming languages, and understanding end-to-end system architecture. You should be comfortable navigating unfamiliar codebases, debugging complex issues, evaluating technical solutions, and ensuring code quality, performance, security, and maintainability.

Key Responsibilities

• Full-Stack Development: Develop, enhance, and debug front-end and back-end components across production applications.
• Feature Implementation: Build user-facing features and the supporting services, APIs, database structures, and data models.
• End-to-End Troubleshooting: Trace requests and data flows across browsers, front-end applications, APIs, back-end services, databases, and third-party integrations.
• Codebase Analysis: Navigate unfamiliar repositories, understand existing application architecture, and identify dependencies and implementation patterns.
• Complex Debugging: Diagnose and resolve issues involving application state, API contracts, authentication, data persistence, network communication, and deployment.
• Cross-Language Development: Evaluate, modify, translate, and improve software implementations across multiple programming languages while preserving functionality and correctness.
• Code Review and Validation: Assess AI-generated and developer-written code for correctness, completeness, efficiency, security, scalability, and maintainability.
• Technical Problem-Solving: Design reliable solutions to challenging engineering problems and validate implementations against defined requirements and specifications.

Required Qualifications

• Significant professional experience developing and maintaining production-grade full-stack applications.
• Strong hands-on expertise in both front-end and back-end software engineering.
• Professional experience working with multiple programming languages and adapting to different technology stacks.
• Solid understanding of browser-based applications, APIs, application state management, databases, and service integrations.
• Experience designing, understanding, and contributing to the architecture of complete software systems.
• Ability to navigate unfamiliar codebases and quickly understand existing implementations.
• Strong debugging, analytical thinking, and problem-solving capabilities.
• Experience reviewing code and evaluating solutions for performance, reliability, security, and maintainability.
• Ability to work independently, manage complex technical tasks, and deliver high-quality results.

Selection Process

• Submit an application and complete the initial screening questions.
• Participate in an AI interview lasting approximately 30 minutes.
• Complete a technical assessment, if required.
• Proceed through the hiring manager review.

Compensation Structure

Compensation is output-based, with payment provided for each task that meets the specified project requirements and quality standards. Task complexity and completion time may vary depending on the nature of the work, the engineer’s experience, and their workflow.

Minimum submission requirements apply, and selected engineers must complete and submit a specified minimum number of tasks each week.

Start Timeline and Availability

The hiring process typically moves quickly, with roles often filled within 48 hours. Candidates should be available to begin immediately. Upon selection and completion of onboarding, engineers are expected to start their first tasks within 24–48 hours.

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $69 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $9 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

This role is for one of our clients

Pay: 50–70/hour

Role Type: Contractor

Location: US – Remote

We are seeking experienced Medical Coders with CCS or CIC certification to contribute their expertise to a project focused on improving the accuracy, reliability, and clinical understanding of advanced artificial intelligence systems.

In this role, you will apply your inpatient medical coding knowledge to annotate, review, and validate clinical documentation using established coding standards and guidelines. You will work with complex inpatient medical records, assign accurate ICD-10-CM and ICD-10-PCS codes, determine appropriate diagnosis sequencing, and validate MS-DRG classifications.

Your expertise will help improve how AI systems interpret clinical documentation, recognize medical conditions, apply coding conventions, and make accurate coding-related decisions. Previous experience in AI or machine learning is not required; strong medical coding expertise and attention to detail are the primary requirements.

Key Responsibilities

• Inpatient Medical Record Review: Review admission notes, progress notes, operative reports, consultation records, laboratory and imaging results, and discharge summaries to identify relevant diagnoses and procedures.
• ICD-10-CM and ICD-10-PCS Coding: Assign accurate diagnosis and procedure codes based on clinical documentation and current official coding guidelines.
• Diagnosis Identification and Sequencing: Identify principal and secondary diagnoses, apply appropriate sequencing rules, and ensure compliance with inpatient coding requirements.
• MS-DRG Validation: Review and validate Medicare Severity Diagnosis-Related Group (MS-DRG) assignments, including the identification of Complications or Comorbidities (CCs) and Major Complications or Comorbidities (MCCs).
• Present on Admission Assessment: Assign and validate Present on Admission (POA) indicators in accordance with applicable guidelines.
• Coding Compliance: Apply inpatient coding conventions, including the Uniform Hospital Discharge Data Set (UHDDS) definitions, ICD-10-CM/PCS Official Guidelines for Coding and Reporting, and relevant AHA Coding Clinic guidance.
• Clinical Quality and Safety Review: Identify hospital-acquired conditions (HACs), patient safety indicators, and other coding-relevant clinical details where applicable.
• AI Data Annotation and Evaluation: Annotate and validate clinical data to support AI training, model evaluation, and the development of more accurate automated coding systems.
• Complex Case Analysis: Investigate ambiguous documentation, resolve coding challenges, and provide evidence-based recommendations for complex inpatient cases.
• Quality Assurance and Feedback: Deliver structured feedback on coding accuracy, guideline interpretation, and complex scenarios to improve annotation quality and project workflows.
• Stakeholder Collaboration: Communicate with project stakeholders to clarify requirements, resolve documentation discrepancies, and maintain data integrity.

Required Qualifications

• Active AHIMA Certified Coding Specialist (CCS) or AAPC Certified Inpatient Coder (CIC) certification.
• Strong hands-on experience in inpatient medical coding and clinical documentation review.
• Thorough understanding of ICD-10-CM and ICD-10-PCS coding systems.
• Proficiency in MS-DRG methodology, diagnosis sequencing, and principal diagnosis selection.
• Knowledge of POA indicators, CCs, MCCs, UHDDS definitions, and applicable inpatient coding guidelines.
• Ability to interpret complex clinical documentation and accurately translate medical information into appropriate codes.
• Familiarity with AHA Coding Clinic guidance and current official coding standards.
• Strong analytical, critical-thinking, and problem-solving skills.
• Excellent written and verbal communication skills, with meticulous attention to detail.
• Ability to work independently, follow detailed instructions, and consistently deliver accurate, high-quality coding annotations.

Must-Have Skills

• Medical Coding
• CCS or CIC Certification
• Inpatient Medical Coding
• ICD-10-CM
• ICD-10-PCS
• MS-DRG Methodology
• Principal and Secondary Diagnosis Coding
• Diagnosis Sequencing
• Present on Admission (POA) Indicators
• Clinical Documentation Review
• Coding Guidelines and Compliance

Good-to-Have Skills

• AHA Coding Clinic Interpretation
• UHDDS Definitions
• Hospital-Acquired Conditions (HACs)
• Patient Safety Indicators
• CC and MCC Identification
• Complex Surgical and Inpatient Case Coding
• Acute Care and Teaching Hospital Experience
• Trauma, Oncology, Cardiology, and Transplant Coding
• Medical Data Annotation and Quality Assurance
• AI Training and Model Evaluation

Preferred Experience

Candidates with experience coding inpatient records across acute care hospitals, teaching hospitals, surgical units, trauma services, oncology, cardiology, or transplant services will be particularly well suited for this role.

Experience handling complex clinical cases, reviewing detailed operative documentation, resolving coding ambiguities, and validating DRG assignments will be an advantage.

Candidates should also have access to current ICD-10-CM and ICD-10-PCS code sets, official coding guidelines, and appropriate MS-DRG grouper tools to support accurate and consistent coding decisions.

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $31 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

This role is for one of our clients

We are seeking detail-oriented and analytical Business Analysts – Non-US Raters to support a project focused on evaluating and comparing responses generated by multiple AI chatbots. The role involves reviewing chatbot outputs, applying predefined evaluation criteria, conducting structured assessments, and delivering accurate, well-documented judgments.

Candidates should have strong analytical skills, business analysis experience, attention to detail, and the ability to work independently in a remote, fast-paced environment. This opportunity is suitable for professionals interested in contributing to AI evaluation and improving the quality, relevance, and reliability of AI-generated responses.

Job Details

• Role: Business Analyst – Non-US Raters
• Experience: 3+ years
• Employment Type: Short-term contract
• Contract Duration: 16 weeks
• Location: Argentina, Peru, Mexico, Brazil, Chile, Colombia, India, and Pakistan
• Compensation: USD 15 per hour
• Start Date: Immediate
• Work Mode: Fully remote
• Availability: Full-time commitment of 8 hours per day
• Time Zone Requirement: Minimum 4 hours of overlap with the US Pacific Time (PST) time zone
• Work Schedule: Five working days per week, including weekends when required, with two weekdays off

Key Responsibilities

• Review, analyze, and compare responses generated by multiple AI chatbots against predefined evaluation criteria.
• Conduct structured assessments to determine the accuracy, relevance, completeness, clarity, and overall quality of chatbot responses.
• Analyze business requirements and translate them into clear evaluation guidelines and functional specifications.
• Gather, interpret, and document relevant information to support consistent and objective assessments.
• Examine workflows, processes, and data to identify gaps, inconsistencies, and opportunities for improvement.
• Prepare evaluation reports, summaries, and supporting documentation with a strong focus on accuracy.
• Collaborate with project managers and cross-functional teams to clarify requirements and resolve evaluation-related questions.
• Track task progress, quality metrics, and project deliverables while meeting established deadlines.
• Identify recurring response-quality issues and provide actionable observations based on the defined assessment framework.
• Maintain consistency, confidentiality, and high-quality standards throughout the evaluation process.

Required Qualifications and Skills

• Bachelor's degree in Business Administration, Finance, Computer Science, or a related field.
• At least 3 years of experience as a Business Analyst or in a similar analytical role.
• Strong analytical thinking, problem-solving, and decision-making abilities.
• Excellent written communication skills and the ability to explain findings clearly.
• Strong attention to detail and the ability to assess information objectively.
• Proficiency in Microsoft Excel, SQL, Power BI, Tableau, or comparable analytical tools.
• Experience with requirement gathering, process mapping, and business documentation.
• Ability to work independently, manage multiple priorities, and meet strict deadlines.
• Strong documentation skills and the ability to follow structured evaluation guidelines.
• Familiarity with Agile or Scrum methodologies is an advantage.
• Willingness to commit to a full-time, 16-week remote engagement with the required time-zone overlap.

Engagement Benefits

• Opportunity to contribute to projects focused on AI evaluation and response quality.
• Fully remote work arrangement with the flexibility of working from your location.
• Exposure to structured AI assessment workflows and quality evaluation processes.
• Opportunity to contribute to projects with international reach.
• Clearly defined contract duration, hourly compensation, and evaluation responsibilities.

Important Engagement Details

• This is a project-based contract lasting 16 weeks.
• Work will consist of evaluating multiple chatbot responses and submitting a final assessment for each assigned task.
• Candidates must be available for 8 hours per day, five days per week, with four hours of overlap with US Pacific Time.
• The schedule may include weekend work, with two weekdays off each week.
• Candidates are expected to maintain consistent evaluation quality, follow project guidelines, and complete assigned tasks within the required timelines.

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

Role Details

• Employment Type: Contract
• Location: Bangladesh, India, Pakistan, Indonesia, Egypt, Ghana, Nigeria, Turkey, Brazil, and Colombia
• Contract Duration: 5 weeks
• Start Date: Immediate
• Work Commitment: 40 hours per week, with at least 4 hours of daily overlap with Pacific Standard Time (PST)
• Compensation: $300 per approved task
• Average Task Completion Time: 6–8 hours
• Contract Benefits: No medical benefits or paid leave

About the Role

We are seeking experienced Scientific Computing and Research Engineering Experts specializing in Earth Sciences to develop realistic, terminal-based scientific computing tasks for AI benchmarking and evaluation.

In this role, you will translate authentic scientific research workflows into challenging, self-contained computational tasks. These tasks will evaluate AI agents' ability to inspect scientific datasets, process geospatial and time-series information, execute numerical models, troubleshoot computational pipelines, and generate scientifically accurate, objectively verifiable outputs.

The ideal candidate combines advanced academic or research expertise in Earth Sciences with strong programming skills and hands-on experience in scientific computing, data processing, and computational modeling. You should be comfortable working in Linux-based terminal environments and building reproducible workflows that reflect real-world scientific challenges.

Key Responsibilities

• Scientific Task Development: Convert real-world Earth-science research workflows into well-defined, self-contained terminal-based benchmark tasks.
• Dataset Preparation: Prepare and process climate, atmospheric, geological, hydrological, oceanographic, remote-sensing, and other environmental datasets.
• Computational Environment Setup: Build reproducible environments using appropriate scientific libraries, command-line utilities, and domain-specific tools.
• Reference Solution Development: Create reliable expert solutions using Python, R, Bash, Julia, or other relevant scientific programming languages.
• Scientific Modeling and Analysis: Develop tasks involving geospatial analysis, numerical simulation, time-series processing, interpolation, forecasting, remote sensing, and environmental risk assessment.
• Evaluation and Grading: Define objective evaluation criteria for scientific outputs, numerical accuracy, data transformations, model behavior, and spatial or temporal correctness.
• Scientific Validation: Verify coordinate reference systems, measurement units, timestamps, missing-data handling, scientific assumptions, and numerical consistency.
• Automated Testing: Develop tests to validate numerical tolerances, output formats, metadata, reproducibility, and adherence to task requirements.
• Troubleshooting and Optimization: Diagnose and resolve issues involving geospatial projections, large datasets, dependencies, computational performance, and numerical stability.
• Technical Documentation: Document data provenance, task instructions, expected outputs, edge cases, scientific limitations, and validation procedures.

Required Qualifications

• PhD in an Earth Sciences discipline is mandatory , including climate science, atmospheric science, geophysics, oceanography, geology, hydrology, remote sensing, environmental modeling, or Earth-system science.
• Strong expertise in at least one Earth-science specialization, supported by academic research or relevant professional experience.
• Proficiency in Python, C/C++, MATLAB/Octave, Julia, or similar programming languages used for scientific simulation, modeling, and data analysis.
• Hands-on experience with scientific data processing, numerical modeling, geospatial analysis, environmental datasets, or time-series analysis.
• Experience developing, debugging, and validating computational workflows.
• Comfort working independently in Linux and terminal-based environments.
• Strong understanding of scientific quality control, spatial and temporal data, uncertainty, and numerical accuracy.
• Excellent analytical, problem-solving, and technical documentation skills.

Preferred Qualifications

• Experience with scientific and geospatial libraries such as NumPy, pandas, SciPy, xarray, rasterio, GeoPandas, Cartopy, or GDAL.
• Familiarity with scientific data formats, including NetCDF, HDF5, GeoTIFF, shapefiles, and GRIB.
• Experience working with climate, weather, satellite imagery, seismic, oceanographic, geological, or hydrological datasets.
• Familiarity with Docker, Conda, Git, CI/CD pipelines, automated testing, or high-performance computing (HPC) environments.
• Experience with research software engineering, scientific benchmarking, or automated grading systems.
• Exposure to AI coding agents, terminal-based AI systems, or the development of evaluation tasks for AI models.
• Research publications or open-source contributions in Earth Sciences, environmental science, geospatial analysis, or computational science.

Engagement and Compensation

This is a short-term, full-time contractor assignment lasting 5 weeks, requiring approximately 40 hours of work per week and at least 4 hours of daily overlap with PST.

Compensation follows a pay-per-task model, with $300 paid for each approved task that meets the specified quality and acceptance criteria. The average task is expected to require approximately 6–8 hours, although actual completion time may vary depending on complexity.

The contract does not include medical benefits or paid leave. Candidates should be available to begin immediately and commit to the required schedule throughout the engagement.

Selection Process

• Interest Check Form: Complete the initial application and interest confirmation.
• Technical Assessment: Complete a 120-minute assessment designed to evaluate relevant scientific and computational expertise.
• Delivery Manager Review: Applications and assessment results will be reviewed before final selection.

Important application requirement: Candidates must use the same email address for the Interest Check Form and the agency portal submission.

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

This role is for one of our clients

We are seeking experienced Engineering Experts to design, develop, and validate complex engineering simulation problems for training and evaluating advanced AI models and coding agents. This role combines deep engineering expertise, scientific computing, simulation-based design, and AI evaluation to create challenging tasks that test an AI system's ability to interpret technical requirements, solve engineering problems, use simulation tools, and produce physically valid solutions.

Experts will work across Electrical, Mechanical, and Aerospace Engineering, developing realistic, multi-constraint problems with measurable objectives and objectively verifiable outcomes. The role also involves analyzing AI execution logs, identifying reasoning and tool-use failures, and refining evaluation benchmarks to improve model performance.

Job Details

• Role: Engineering Expert
• Experience: 10+ years of hands-on engineering design experience
• Education: Master's degree or PhD in Electrical, Mechanical, Aerospace Engineering, or a closely related discipline
• Locations: Bangladesh, India, Indonesia, Egypt, Ghana, Nigeria, Turkey, Brazil, Colombia, and approved US states
• Employment Type: Short-term contractor engagement
• Contract Duration: Up to 24 weeks
• Start Date: Immediate
• Compensation: USD 500 per task, based on an estimated 30–40 hours of work per task
• Availability: Approximately 40 hours per week, with at least 4 hours of overlap with US Pacific Time (PST)
• Work Arrangement: Remote, with access to a personal computer and reliable high-speed internet

1. Engineering Problem Design

• Develop original, self-contained engineering design problems with realistic technical requirements, competing constraints, and clearly defined optimization objectives.
• Create challenging tasks that require AI models to interpret specifications, evaluate design trade-offs, configure simulation environments, and iteratively improve engineering solutions.
• Establish validated reference solutions and objective automated grading mechanisms to assess correctness, performance, and compliance with engineering requirements.

2. Simulation and Computational Engineering

• Build, configure, execute, and validate simulation-based problem environments using relevant open-source engineering tools.
• Develop Python scripts, custom test benches, and supporting utilities to automate simulations and verify expected results.
• Ensure that simulation outputs satisfy physical plausibility, dimensional consistency, boundary conditions, convergence requirements, and other domain-specific constraints.
• Troubleshoot simulation failures, numerical instability, dependency issues, and computational errors.

3. AI Evaluation and Failure Analysis

• Evaluate the performance of large language models (LLMs) and coding agents across repeated engineering problem-solving trials.
• Analyze execution trajectories, tool interactions, simulator feedback, and intermediate outputs to identify systematic reasoning failures.
• Investigate issues such as incorrect interpretation of engineering specifications, premature convergence, invalid geometries, inconsistent units, and physically impossible solutions.
• Apply evaluation concepts such as pass@k, failure-mode classification, and analysis of nondeterministic model behavior.

4. Benchmark Development and Refinement

• Calibrate task difficulty using empirical model performance and evaluation results.
• Refine engineering problems to improve their ability to distinguish between successful and unsuccessful AI solutions.
• Ensure that tasks remain unambiguous, technically rigorous, reproducible, and objectively gradable.
• Collaborate with AI researchers, technical leads, and subject-matter experts to integrate validated benchmarks into AI evaluation workflows.

Required Qualifications and Skills

• Master's degree or PhD in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a closely related technical discipline.
• At least 10 years of practical engineering design experience.
• Strong Python programming and scripting skills.
• Hands-on proficiency with at least one relevant open-source engineering simulation or design tool, such as:
• Electrical simulation: ngspice, PySpice
• Mechanical and computational engineering: OpenFOAM, FEniCSx, CalculiX
• Control systems: python-control, OpenModelica
• CAD and design automation: CadQuery, build123d
• Thermodynamics and meshing: Cantera, Gmsh
• Experience developing, executing, debugging, and validating simulation-based engineering workflows.
• Familiarity with modern LLMs, AI coding agents, and AI evaluation methodologies.
• Ability to analyze model execution logs and identify underlying reasoning, planning, and tool-use failures.
• Strong understanding of physical constraints, units, boundary conditions, numerical convergence, and engineering validation.
• Excellent analytical, problem-solving, and technical documentation skills.
• Ability to work independently and deliver technically accurate results within defined timelines.

Preferred Qualifications

• Experience in AI model evaluation, benchmark development, automated grading, or coding-agent assessment.
• Familiarity with repeated-trial evaluation, pass@k metrics, failure taxonomies, and nondeterministic model behavior.
• Experience building automated testing frameworks and reproducible computational environments.
• Knowledge of optimization methods, numerical analysis, simulation automation, and engineering design validation.
• Experience collaborating with multidisciplinary engineering and AI research teams.

Engineering Domains

Candidates should have strong expertise in one or more of the following areas:

• Electrical Engineering
• Mechanical Engineering
• Aerospace Engineering

Work Commitment and Contract Terms

• Expected commitment of approximately 40 hours per week.
• At least 4 hours of daily overlap with US Pacific Time.
• Weekend on-call availability is required; part-time engagement may be acceptable where agreed.
• The engagement is contractor-based and may last up to 24 weeks.
• Candidates must have a personal desktop or laptop and a stable, high-speed internet connection.
• Compensation is USD 500 per task, with an estimated 30–40 hours of effort per task. Actual task allocation and payment terms should be confirmed before engagement.

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $36 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

This role is for one of our clients

We are seeking an experienced Pod Lead – Scientific Computing / Research Engineering Expert in Earth Sciences to support an advanced AI training and evaluation initiative. This role combines scientific domain expertise, research software engineering, computational problem-solving, and technical leadership to develop realistic, challenging, and objectively verifiable terminal-based scientific tasks.

The successful candidate will help design and validate scientific workflows involving climate science, atmospheric processes, geophysics, oceanography, geology, hydrology, remote sensing, and environmental modeling. As a Pod Lead, you will guide task development, maintain scientific and technical quality standards, and ensure that computational tasks accurately reflect real-world research challenges.

The ideal candidate will have advanced research experience in Earth Sciences or a related discipline, strong scientific programming skills, and practical experience working in Linux and terminal-based computational environments.

Job Details

• Role: Pod Lead – Scientific Computing / Research Engineering Expert - Earth Sciences (Terminal Bench Science)
• Employment Type: Short-term contract
• Contract Duration: 4 weeks
• Eligible Locations: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, and Vietnam
• Maximum Rate: USD 16 per hour
• Start Date: Immediate; the original brief indicates an expected start the following week
• Availability: Full-time commitment of 8 hours per day, with a minimum of 40 hours per week
• Time Zone Requirement: At least 4 hours of overlap with US Pacific Time (PST)

Key Responsibilities

• Content Analysis: Review and analyze complex educational content, research questions, datasets, logical puzzles, and academic scenarios.
• Research and Fact-Checking: Use credible online sources to verify claims, validate information, and assess the accuracy of responses.
• Information Synthesis: Summarize extensive information into concise, structured, coherent, and easy-to-understand explanations.
• AI Response Evaluation: Assess AI-generated answers for factual accuracy, relevance, completeness, clarity, and logical consistency.
• Feedback and Annotation: Identify errors, provide constructive corrections, and explain the reasoning behind suggested improvements.
• Educational Conversation Assessment: Review genuine conversation histories involving learning, academic work, exam preparation, research, projects, and skill development.
• Training Data Quality: Create analytical examples, annotations, and evaluation scenarios that help improve AI model performance.
• Independent Problem-Solving: Apply critical thinking, creativity, and lateral reasoning to unfamiliar questions and complex analytical tasks.

Required Qualifications

• At least 1 year of relevant experience .
• Recent graduate or currently pursuing a degree.
• Strong fluency in U.S. English (en-US) , including reading comprehension, grammar, and written communication.
• An active, previously established Gemini App account with at least 18 months of conversation history .
• At least 10 separate conversations related to education, learning, academics, exam preparation, research, projects, or skill development.
• Ability to provide an exported JSON file containing the required conversation history for review.
• Strong analytical, research, logical reasoning, and problem-solving abilities.
• Ability to evaluate information critically and provide detailed, evidence-based explanations.
• Good attention to detail and the ability to work independently in a remote environment.

Preferred Qualifications

• Pursuing or holding a bachelor's degree in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related discipline.
• Experience in business analysis, research, writing, editing, translation, journalism, or content evaluation.
• Familiarity with Microsoft Excel, Google Sheets, Google Docs, and other productivity tools.
• Ability to interpret data, perform basic arithmetic, and identify trends and relationships.
• Experience using AI tools for research, information analysis, or content evaluation.
• Strong documentation skills and the ability to communicate findings in a clear, structured format.

Account and Data Submission Requirements

• Candidates must maintain a genuine Gemini App account established before applying for the project.
• The account must contain at least 18 months of conversation history and a minimum of 10 relevant educational conversations.
• Candidates must submit an exported JSON file containing the required conversation history for eligibility review.
• Candidates may remove personal information and individual chats from the exported JSON file before submission.
• Creating a new account solely to participate in this project does not meet the stated eligibility requirements.
• The submitted conversation history will be reviewed to verify eligibility before onboarding.

Selection Process

• Interest Check Form: Submit the initial application and confirm interest in the project.
• Google Forms Assessment: Complete the required assessment to demonstrate analytical ability, comprehension, and relevant skills.
• Delivery Manager Review: Complete the final review of the application, assessment, and eligibility requirements.

Compensation and Engagement Terms

The role offers $30 per hour for approved project work. Candidates who submit the required JSON conversation-history file and are hired will receive an additional one-time payment of $50.

The assignment lasts 16 weeks and requires full-time availability, including at least 4 hours of daily overlap with PST. This is a contractor engagement and does not include medical benefits or paid leave.

About the role

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
• 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
• An active professional CAD licence of your own (required).
• Comfortable with Python and GitHub.
• English at B2 level or above.

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $14 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
• Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

This role is for one of our clients

Pay: 30–100/hour

Job Type: Contractor (~15 hrs a week)

Location: Remote

Schedule: Flexible, you pick the hours and days (including weekends if desired)

Required Skills: Python3, Java, Rust, Algorithms, Basics of C++, TypeScript, Bug fixing, Feature implementation, Codebase refactoring, Performance optimization

We are seeking an experienced Senior Software Engineer to contribute to the training and evaluation of next-generation artificial intelligence systems. This role is ideal for engineers with strong backend development expertise, excellent problem-solving abilities, and a proven track record of building reliable, scalable, and high-performance software.

You will design realistic and challenging coding tasks that assess AI systems' ability to implement features, fix bugs, refactor existing code, and optimize application performance. You will also develop deterministic verification mechanisms that accurately validate solutions, accepting reasonable implementations that meet the requirements while rejecting incorrect or incomplete submissions.

The role requires strong software engineering judgment, extensive debugging experience, and a solid understanding of testing methodologies. Previous AI experience is not required; your technical expertise and independent judgment are what matter most.

Key Responsibilities

• Coding Task Development: Design challenging, real-world software engineering problems involving feature implementation, bug fixes, code refactoring, and performance optimization.
• Reference Solution Development: Create high-quality reference implementations that demonstrate correct, efficient, and maintainable approaches to solving technical problems.
• Automated Verification: Build deterministic verifiers, validation scripts, and comprehensive test cases to evaluate solution correctness and ensure reliable task assessment.
• Backend Engineering: Apply expertise in backend development, scalable services, APIs, asynchronous processing, and distributed systems to create realistic engineering challenges.
• Debugging and Troubleshooting: Analyze complex software defects, investigate system bottlenecks, and identify root causes of unexpected behavior.
• Testing Strategy and Quality Assurance: Design effective testing strategies, develop and maintain large test suites, diagnose flaky tests, and improve overall software quality.
• Code Review: Evaluate code for correctness, readability, maintainability, performance, security, and adherence to engineering best practices.
• Refactoring and Optimization: Develop tasks that assess an AI system's ability to improve legacy code, simplify complex implementations, and optimize resource utilization.
• Technical Reasoning Assessment: Evaluate AI-generated reasoning related to architecture, debugging, algorithms, system design, and implementation decisions.
• Technical Documentation: Document task requirements, expected behavior, test coverage, solution approaches, and verification criteria clearly and consistently.
• Continuous Improvement: Analyze model failures and refine coding tasks and evaluation methods to improve the quality and reliability of AI-generated software.

Required Qualifications

• Strong professional experience in software engineering, particularly backend development and production-grade systems.
• Proficiency in one or more programming languages, including Java, Node.js, Go, Rust, TypeScript, Python, C++, or similar technologies.
• Proven experience designing, building, and maintaining scalable services and APIs.
• Strong understanding of data structures, algorithms, system design, and fundamental computer science concepts.
• Extensive experience with debugging, troubleshooting, performance optimization, and code review.
• Practical experience with automated testing, test design, and software quality assurance.
• Ability to identify implementation defects, edge cases, inefficient algorithms, and architectural weaknesses.
• Strong understanding of code maintainability, refactoring, reliability, and software engineering best practices.
• Excellent analytical, problem-solving, and technical communication skills.
• Ability to work independently and exercise sound technical judgment when evaluating complex engineering problems.

Must-Have Skills

• Senior Software Engineering
• Backend Development
• Scalable Services and API Design
• Java, Node.js, Go, Rust, TypeScript, Python, or C++
• Data Structures and Algorithms
• Debugging and Root-Cause Analysis
• Automated Testing and Test Strategy
• Code Review and Refactoring
• Performance Optimization
• Technical Problem-Solving

Good-to-Have Skills

• Large-Scale Test Suite Design and Maintenance
• Flaky Test Diagnosis and Resolution
• Test Automation Frameworks
• Continuous Integration and Continuous Delivery (CI/CD)
• Distributed Systems and Microservices
• System Architecture and Design Patterns
• Regression, Integration, and Unit Testing
• Deterministic Evaluation and Automated Verification
• AI Coding Agent Evaluation
• Legacy System Modernization
• Production Reliability and Performance Engineering

Preferred Qualifications

• Demonstrated success delivering scalable, reliable, and high-performance backend applications.
• Experience resolving complex software defects and improving system performance.
• Proven ability to implement complex features and refactor large codebases.
• Strong background in test strategy, automated validation, and improving engineering quality standards.
• Experience establishing testing best practices across engineering teams.
• Ability to translate complex engineering requirements into clear, reproducible coding tasks and evaluation criteria.

Selection Process

• Application: Submit your application and complete the required screening questions.
• AI Interview: Complete an approximately 30-minute interview focused on your technical expertise and problem-solving approach.
• Technical Assessment: Complete a technical assessment if required.
• Hiring Manager Review: Your technical background, assessment results, and suitability for the project will be reviewed.
• Onboarding: Selected candidates receive the necessary instructions and resources to begin their assignments.

Candidates are expected to complete interviews and assessments independently, without assistance from AI tools or other individuals. The same principle applies to project assignments, where the quality of the work depends on each engineer's own expertise and judgment.

Compensation Structure

Compensation is output-based, with payment provided for tasks that meet the defined project specifications and acceptance criteria. Completion time may vary based on task complexity, individual experience, and workflow.

Minimum submission requirements apply, and participants are expected to complete a specified minimum number of tasks per week.

Start Timeline and Availability

The selection process typically moves quickly, with roles often filled within approximately 48 hours. Successful candidates should be prepared to begin their first tasks within 24–48 hours of completing onboarding.

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based.

What this opportunity involves

We’re looking for US-based, actively practicing physicians (MD/DO) to evaluate clinical EHR vignettes for a medical AI evaluation program. General and internal medicine are our main focus. While each project involves unique tasks, contributors may:

• Evaluate clinical EHR vignettes paired with a question, a proposed answer, and a distractor “trap” answer across diagnosis and treatment tasks, spanning cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems;
• Score the clinical reasoning quality of benchmark items: vignette accuracy and completeness, whether the vignette gives the answer away, answer correctness and gradeability, and trap quality;
• Check whether the reasoning chain reaches the answer from vignette facts alone, correct reasoning traces, and write short rationales;
• Work within three independent blind reads, followed by physician adjudication. Real clinical complexity only. You’re improving the AI tools you’ll eventually use yourself.

If you’re a practicing physician ready to take on this challenging and engaging project, join us!

What we look for

This opportunity is a good fit for US-based physicians open to part-time, non-permanent projects. Ideally, contributors will have:

• Medical degree (MD or DO) and an active, unrestricted US medical license (verified with the issuing medical board);
• Board certification or completed residency training, with recent direct patient care (attending-level preferred);
• Broad, multi-system diagnostic and treatment experience (internal, family, emergency, or hospital medicine);
• Strong clinical reasoning: differential diagnosis, next-step management, and application of evidence-based guidelines;
• Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA (a plus);
• Strong written English (C1+).

This opportunity is not fit to medical students, unlicensed medical graduates, non-physician clinicians (NPs, PAs, nurses, pharmacists), or non-clinical healthcare titles.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of** $70/hr.** Because payment is per approved task, a faster pace raises your effective hourly rate.

Role Details

• Employment Type: Contract
• Location: United States, excluding Texas, Illinois, California, Connecticut, Massachusetts, New Jersey, and Vermont
• Engagement Duration: 16 weeks
• Start Date: Immediate
• Experience Required: 1+ year of relevant experience
• Work Commitment: Full-time availability, with at least 4 hours of daily overlap with Pacific Standard Time (PST)
• Compensation: $30 per hour, plus a one-time $50 payment for submitting the required JSON file if hired
• Contract Benefits: No medical benefits or paid leave

About the Role

We are seeking detail-oriented and analytically strong Business Analysts – Educational Raters to support the evaluation and improvement of advanced AI systems. This role focuses on analyzing educational conversations, assessing AI-generated responses, validating information, and creating high-quality feedback to improve the accuracy, relevance, and usefulness of AI models.

Candidates should have strong research, critical-thinking, logical reasoning, and written communication skills, along with fluency in U.S. English. Recent graduates and individuals currently pursuing a degree are encouraged to apply.

Applicants must have an active, previously established Gemini App account containing genuine conversation history, particularly conversations related to education, learning, academic research, exam preparation, projects, or skill development. The account must not have been created solely for participation in this project.

Key Responsibilities

• Content Analysis: Review and analyze complex educational content, research questions, datasets, logical puzzles, and academic scenarios.
• Research and Fact-Checking: Use credible online sources to verify claims, validate information, and assess the accuracy of responses.
• Information Synthesis: Summarize extensive information into concise, structured, coherent, and easy-to-understand explanations.
• AI Response Evaluation: Assess AI-generated answers for factual accuracy, relevance, completeness, clarity, and logical consistency.
• Feedback and Annotation: Identify errors, provide constructive corrections, and explain the reasoning behind suggested improvements.
• Educational Conversation Assessment: Review genuine conversation histories involving learning, academic work, exam preparation, research, projects, and skill development.
• Training Data Quality: Create analytical examples, annotations, and evaluation scenarios that help improve AI model performance.
• Independent Problem-Solving: Apply critical thinking, creativity, and lateral reasoning to unfamiliar questions and complex analytical tasks.

Required Qualifications

• At least 1 year of relevant experience .
• Recent graduate or currently pursuing a degree.
• Strong fluency in U.S. English (en-US) , including reading comprehension, grammar, and written communication.
• An active, previously established Gemini App account with at least 18 months of conversation history .
• At least 10 separate conversations related to education, learning, academics, exam preparation, research, projects, or skill development.
• Ability to provide an exported JSON file containing the required conversation history for review.
• Strong analytical, research, logical reasoning, and problem-solving abilities.
• Ability to evaluate information critically and provide detailed, evidence-based explanations.
• Good attention to detail and the ability to work independently in a remote environment.

Preferred Qualifications

• Pursuing or holding a bachelor's degree in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related discipline.
• Experience in business analysis, research, writing, editing, translation, journalism, or content evaluation.
• Familiarity with Microsoft Excel, Google Sheets, Google Docs, and other productivity tools.
• Ability to interpret data, perform basic arithmetic, and identify trends and relationships.
• Experience using AI tools for research, information analysis, or content evaluation.
• Strong documentation skills and the ability to communicate findings in a clear, structured format.

Account and Data Submission Requirements

• Candidates must maintain a genuine Gemini App account established before applying for the project.
• The account must contain at least 18 months of conversation history and a minimum of 10 relevant educational conversations.
• Candidates must submit an exported JSON file containing the required conversation history for eligibility review.
• Candidates may remove personal information and individual chats from the exported JSON file before submission.
• Creating a new account solely to participate in this project does not meet the stated eligibility requirements.
• The submitted conversation history will be reviewed to verify eligibility before onboarding.

Selection Process

• Interest Check Form: Submit the initial application and confirm interest in the project.
• Google Forms Assessment: Complete the required assessment to demonstrate analytical ability, comprehension, and relevant skills.
• Delivery Manager Review: Complete the final review of the application, assessment, and eligibility requirements.

Compensation and Engagement Terms

The role offers $30 per hour for approved project work. Candidates who submit the required JSON conversation-history file and are hired will receive an additional one-time payment of $50.

The assignment lasts 16 weeks and requires full-time availability, including at least 4 hours of daily overlap with PST. This is a contractor engagement and does not include medical benefits or paid leave.