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Research report ยท Live data

How AI Training Applications Work

Across 1,457 application forms of AI training roles open on 17 Oct 2026, 92.9% require a resume, 65.2% ask for a LinkedIn profile and a typical form has 10 fields.

Data window
20 Sep 2026 to 17 Oct 2026
28 days, UTC
Computed
18 Oct 2026, 18:08 UTC
Recomputed every day
Source
The application forms of open roles, read from the platforms' own applicant-tracking systems (Greenhouse, Ashby, Lever, Workable and others).
Method
Version 1. Definitions
CC BY 4.0, how to cite

Every figure on this page as CSV and JSON, sent to your work email.

Key findings

  1. 1

    92.9% of AI training application forms require a resume and 65.2% ask for a LinkedIn profile; only 30.9% ask for a cover letter.

    Figure 1
  2. 2

    The screening questions asked most often concern languages spoken or fluency (25.1% of forms), degree or field of study (11.4% of forms) and experience or years in a field (10.3% of forms).

    Figure 2
  3. 3

    A typical form has 10 fields; 17.6% of forms have 16 or more.

    Figure 3
  4. 4

    xAI (SpaceXAI) has the longest forms (a median of 25 fields) and Terac the shortest (3).

    Figure 4
  5. 5

    Greenhouse runs 39.1% of the application forms read, across 4 platforms.

    Figure 5

Figure 1

What applications ask for

Which documents and profiles do AI training applications ask for?

ItemForms askingForms requiring it
Phone number
99.3%
93.7%
Resume or CV
98.4%
92.9%
Location or country
95.5%
85.0%
LinkedIn profile
65.2%
46.6%
Cover letter
30.9%
0.0%
GitHub profile
24.4%
7.2%
Current employer
19.9%
0.0%
Portfolio or website
17.6%
0.8%
Other file uploads
9.9%
0.0%

Sample. 1,457 application forms of roles open on 17 Oct 2026, read from the platforms' own applicant-tracking systems (39.7% of all open roles).

Required: the form will not submit without it. Name and email, asked by every form, are not listed.

Source. AITraining.jobs Research, How AI Training Applications Work, live data.

Figure 2

Screening questions asked

What do AI training applications ask beyond a resume?

Question themeForms asking
Languages spoken or fluency
25.1%
Degree or field of study
11.4%
Experience or years in a field
10.3%
Expected pay or rate
10.3%
Work authorization or visa sponsorship
4.8%
Availability, hours or start date
3.1%
Prior AI training or annotation work
2.3%
Age or being over 18
0.3%
How you heard about the role
0.1%
Licence or certification
0.0%
Demographics (gender, race, veteran, disability)
0.0%

Sample. 1,457 application forms of roles open on 17 Oct 2026, read from the platforms' own applicant-tracking systems (39.7% of all open roles); themes read from the label of each question the platform adds to its form.

A question can match more than one theme. Demographic questions are usually optional and asked for equal-opportunity reporting.

Source. AITraining.jobs Research, How AI Training Applications Work, live data.

Figure 3

How long application forms are

How many questions stand between a person and an AI training role?

Form lengthFormsShare
1 to 5 fields30
2.1%
6 to 10 fields930
63.8%
11 to 15 fields241
16.5%
16 to 25 fields244
16.7%
26 fields or more12
0.8%

Sample. 1,457 application forms of roles open on 17 Oct 2026, read from the platforms' own applicant-tracking systems (39.7% of all open roles).

Fields: every input on the form, from name and email to the last screening question.

Source. AITraining.jobs Research, How AI Training Applications Work, live data.

Figure 4

Application forms by platform

Which platforms ask the most of applicants?

PlatformMedian fieldsMedian own questionsResume required
xAI (SpaceXAI)
25
10100.0%
Vetto
22
135.0%
Handshake AI
18
10100.0%
TransPerfect DataForce
18
1092.7%
Sigma AI
17
898.9%
Welo Data
15
3100.0%
Appen
13
60.0%
RemotasksSmall sample
12
5100.0%
Anyone AI
10
3100.0%
Invisible
10
299.4%
Mindrift
7
0100.0%
Terac
3
00.0%

Sample. 1,457 application forms of roles open on 17 Oct 2026, read from the platforms' own applicant-tracking systems (39.7% of all open roles).

Own questions: fields the platform adds beyond the applicant system's standard ones (name, contact, resume, profiles).

Source. AITraining.jobs Research, How AI Training Applications Work, live data.

Figure 5

The applicant-tracking systems behind the forms

Which hiring software do AI training platforms use?

SystemFormsShare of forms readPlatforms
Greenhouse570
39.1%
4
Workable297
20.4%
1
Lever290
19.9%
2
Ashby155
10.6%
3
Teamtailor145
10.0%
2

Sample. 1,457 application forms of roles open on 17 Oct 2026, read from the platforms' own applicant-tracking systems (39.7% of all open roles).

Source. AITraining.jobs Research, How AI Training Applications Work, live data.

For labs, data vendors and researchers

Buy the data behind this report

The figures above are a summary. Behind them are records we collect ourselves, every day:

  • 9,572 roles tracked, each with its history

    Every role on 29 job boards, read daily since 13 Jul 2026: its pay and place, and the first and last day it was open.

  • 6,200 apply clicks in 28 days

    Which roles people actually apply to, by field, pay and kind of work. It happens on this site, so nobody else can count it.

  • 39 lab and vendor hiring boards

    The job boards of 25 AI labs and 14 human-data vendors, read every day: who is hiring for human data, and who is hiring to buy it.

What you can buy

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Method and definitions

The application forms of open roles, read from the platforms' own applicant-tracking systems (Greenhouse, Ashby, Lever, Workable and others). Every figure is computed by one database query over the window shown, the same query for the live report and for every edition. Each figure states its sample beneath it.

Application form
The fields an applicant fills in on the platform's own application page, read with the posting from its applicant-tracking system.
Required
The form will not submit without the field.
Screening question
A question the platform adds beyond the system's standard fields; its theme is read from its label with documented patterns.
Open role
A role listed by a given day and still in its platform's feed that day.
Window
Live: the last 28 complete days, in UTC. Edition: one calendar month, in UTC.

What this data cannot tell you

  • Platforms that recruit without a public job board are not counted. Several large ones invite workers to projects directly.
  • A listing is not a hire. Some platforms keep evergreen roles open for months, and some post one listing per language or country.
  • Some platforms apply in steps (a short form, then an assessment); only the first form is read.

How the job feeds are read and roles are classified: site methodology. How fresh, complete and consistent the data is, checked every day: data quality and coverage.

Editions

The live report covers the last 28 complete days and changes every day. Each complete month is also published as an edition, frozen two days after the month ends, so a figure you cite from an edition never moves.

  • Live data (this page)Last 28 complete days, recomputed daily

Cite and reuse

Free to quote, chart and republish under CC BY 4.0 with a link to this page. Live figures change daily: cite a monthly edition for numbers that will read the same later, or keep the access date.

Citation

AITraining.jobs (2026). How AI Training Applications Work (live data, 20 Sep 2026 to 17 Oct 2026). https://aitraining.run/research/how-ai-training-applications-work (accessed 18 Oct 2026)

BibTeX

@misc{aitrainingjobs_how_ai_training_applications_work_live,
  author = {{AITraining.jobs}},
  title = {How AI Training Applications Work (live data, 20 Sep 2026 to 17 Oct 2026)},
  year = {2026},
  howpublished = {\url{https://aitraining.run/research/how-ai-training-applications-work}},
  note = {Accessed 18 Oct 2026},
}
Data: every figure as CSV (one line per value) and JSON, sent to your work email.Pay and open-roles data

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