Key findings

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
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
A typical form has 10 fields; 17.6% of forms have 16 or more.
Figure 3
4
xAI (SpaceXAI) has the longest forms (a median of 25 fields) and Terac the shortest (3).
Figure 4
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?

Item	Forms asking	Forms requiring it	Forms
Phone number	99.3%	93.7%	1,447
Resume or CV	98.4%	92.9%	1,433
Location or country	95.5%	85.0%	1,391
LinkedIn profile	65.2%	46.6%	950
Cover letter	30.9%	0.0%	450
GitHub profile	24.4%	7.2%	355
Current employer	19.9%	0.0%	290
Portfolio or website	17.6%	0.8%	256
Other file uploads	9.9%	0.0%	144

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 theme	Forms asking	Forms
Languages spoken or fluency	25.1%	365
Degree or field of study	11.4%	166
Experience or years in a field	10.3%	150
Expected pay or rate	10.3%	150
Work authorization or visa sponsorship	4.8%	70
Availability, hours or start date	3.1%	45
Prior AI training or annotation work	2.3%	33
Age or being over 18	0.3%	5
How you heard about the role	0.1%	1
Licence or certification	0.0%	0
Demographics (gender, race, veteran, disability)	0.0%	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 length	Forms	Share
1 to 5 fields	30	2.1%
6 to 10 fields	930	63.8%
11 to 15 fields	241	16.5%
16 to 25 fields	244	16.7%
26 fields or more	12	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?

Platform	Median fields	Median own questions	Resume required	LinkedIn asked	Applicant system	Forms read
xAI (SpaceXAI)	25	10	100.0%	100.0%	Greenhouse	15
Vetto	22	13	5.0%	100.0%	Greenhouse	20
Handshake AI	18	10	100.0%	100.0%	Ashby	5
TransPerfect DataForce	18	10	92.7%	25.5%	Teamtailor	55
Sigma AI	17	8	98.9%	0.0%	Teamtailor	90
Welo Data	15	3	100.0%	100.0%	Lever	235
Appen	13	6	0.0%	0.0%	Lever	55
RemotasksSmall sample	12	5	100.0%	33.3%	Greenhouse	3
Anyone AI	10	3	100.0%	100.0%	Ashby	128
Invisible	10	2	99.4%	100.0%	Greenhouse	532
Mindrift	7	0	100.0%	0.0%	Workable	297
Terac	3	0	0.0%	0.0%	Ashby	22

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?

System	Forms	Share of forms read	Platforms
Greenhouse	570	39.1%	4
Workable	297	20.4%	1
Lever	290	19.9%	2
Ashby	155	10.6%	3
Teamtailor	145	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

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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 dataLast 28 complete days, recomputed daily

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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://www.aitraining.team/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://www.aitraining.team/research/how-ai-training-applications-work}},
  note = {Accessed 18 Oct 2026},
}

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