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What experts should know before applying for AI training work
Why AI companies now pay professionals to train their models, what the work actually is, and five things an expert should know first: the platform sets the pay, a posted range is decided after you qualify, the first interviewer is software, timing beats polish, and scarce credentials have leverage. Plus the one scam to recognise.
Transcript
A medical expert can find the same kind of AI training work advertised at $135 an hour on one platform and $40 on another. Same field. Same kind of task. If you are a professional thinking about this work, that gap is the first thing worth understanding, and it is not the last. This is AI Training Jobs Weekly. Today: what an expert should know about this market before applying anywhere.
First, why experts at all. A few years ago most of this work was general: label an image, pick the better of two answers. Models now handle much of that themselves. What AI companies pay for now is judgment they cannot get cheaply: a doctor who can see that an answer is confidently wrong, a lawyer who can tell a weak argument from a strong one, an engineer who can break a solution. When OpenAI worked on how ChatGPT handles conversations about mental health, it said it worked with more than 170 mental health experts. In the public job postings we track, more than 4 in 10 open AI training roles now name a profession in their title, and in law, medicine and finance work it is nearly 3 in 4.
So what does the work look like? Mostly three things. You write hard questions in your field that the model gets wrong. You write the answer an expert would give, as a reference. And you grade the model's answers against a rubric: is it accurate, is it safe, would a professional sign it. One current posting for licensed psychologists puts it plainly: review how AI models respond to clinical psychology scenarios, and judge whether they got the clinical reasoning, ethics and risk handling right. That one is a 3 week project. Short projects are normal in this work.
Lesson one: the platform decides your pay as much as your field does. In mid October, medicine and nursing roles had a median advertised rate of $135 an hour at Mercor and $40 at Alignerr. Law roles, $133 at micro1 and $60 at SuperAnnotate. Software roles, $98 at Handshake AI and $31 at OpenTrain AI. Looking only at roles open to US residents, the best paying platform in a typical kind of work advertises about twice what the worst one does. So before you apply, compare what each platform pays for your field, not what the industry pays on average.
Lesson two: the number on a posting is a range, and where you land in it is decided after you qualify. A psychologist posting at micro1 reads $100 to $200 an hour. Which end you get depends on your credentials and how you score in their assessment. And an hourly rate is not a promise of hours. Projects open, fill and close. Some weeks there is plenty of work and some weeks there is none, and some platforms pay per task instead of per hour.
Lesson three: your first interviewer is probably software. At micro1, the first round is a conversation with its AI recruiter, called Zara: open questions about your field, and scenario questions about how you would handle a case. You get a result right away on whether you meet their certification bar. Mercor also screens experts with an AI interview. Treat it like a real interview. Speak in specifics, reason out loud, and use the vocabulary of your field. And know that passing gets you certified, not booked. The work starts when a project needs someone with your background, and that can take days or weeks.
Lesson four: timing beats polish. Applicants pile into new listings: a role in its first week draws more than 6 times the interest of one that has been up for more than three months. The typical listing in our data is up for about 18 days, and projects fill. Apply in the first days a role appears, and keep your profile and credentials ready so you can.
Lesson five: the crowd is not where the money is. Writing and editing roles draw two and a half times the applicant interest of the average role, and they pay the least of the expert fields, a median of $48 an hour. Law pays the most, $109 an hour, and draws barely more than half the average interest per opening. Chemistry roles draw about a tenth of it, and they stay open longer. If you hold a scarce credential, you have leverage: you can be choosy about platforms and projects.
And one warning. Real platforms pay you. They never ask you to pay them. A fast growing scam, which the US Federal Trade Commission calls a task scam, pays you small amounts at first to earn your trust, then asks for a deposit to unlock your earnings. The FTC counted about 20,000 reports in the first half of 2024, against about 5,000 in all of 2023. Its rule is simple: never pay anyone to get paid.
To sum up. Compare platforms for your own field. Read a posted range as a range. Prepare for the AI interview like a real one. Apply in the first days. And use your scarcity. The figures in this episode come from public job postings as of the 17th of October 2026, and a posted rate is an advertised rate, not a guaranteed wage. Next week: what the AI labs themselves are hiring for, inside their own teams. This was AI Training Jobs Weekly.