How AI Training Platforms Screen Experts

Method and definitions

The public job boards of the AI training platforms this site tracks, read every hour: the full description of each open role where the board publishes one, and the application form of each open role where the platform's applicant-tracking system (Greenhouse, Ashby, Lever, Workable, Teamtailor and others) is read. 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.

Screening step

One of seven checks a description can state: an assessment, test or trial task; an AI-led or recorded interview; an interview with a person or of an unstated kind; a background check; identity verification (the five selection steps); a professional credential or licence; work samples, a portfolio or a publication record (the two kinds of proof of expertise). A step counts when the description states it, as a requirement or as something that may be asked.

Selection passage

The part of a description about applying and being selected: a section headed as the process ('Process', 'Application steps', 'What to expect'), a sentence about the application, onboarding, screening or selection (and the sentence after it), or a sentence about the applicants outside the sections that describe the work or the qualifications. The five selection steps are read only there, with the requirements report's patterns and a few documented additions, so 'conduct psychological assessments' or 'transcribe interviews' in the work is not counted as a check.

Proof of expertise

A professional credential or licence the description names (medical, legal, nursing, financial, board certification or any licence), or work the applicant must show: samples, a portfolio or reel, a verifiable GitHub profile, or a publication record. Read from the whole description, named as a requirement or a preference.

Screening depth

How many of the seven screening steps a description states. Shown as a median and as the share of roles stating two or more.

Form burden

The number of fields an application form will not submit without, from name and email to the last required screening question.

Required

The form will not submit without the field.

Question theme

What a question the platform adds to its form is about (work authorization, availability, pay, degree, experience, languages, a licence, prior AI training work, age), read from its label with the applications report's documented patterns. The pay theme covers both an applicant's expected rate and accepting the stated rate.

Coverage

A platform's board either publishes full descriptions or exposes its application form, and some do neither. Each figure states which platforms and what share of all open roles it reads, and a platform is only ever compared on the source it publishes.

Open role

A role listed by a given day and still in its platform's feed that day.

Kind of work

Each role is classified from its title and description into one of the twelve kinds of AI training work this site tracks, from AI evaluation and coding to multilingual and audio work. Every kind links to its own page.

Window

Live: the roles open at the end of the last 28 complete days, in UTC. Edition: the roles open at the end of one calendar month.

What this data cannot tell you

• Stated, not observed: a platform can screen more than its descriptions say, so every share is a floor. Pass rates are not published, so this report cannot say how selective any step is.
• Descriptions and forms come from different platforms, and some platforms publish neither: the coverage figure names them. The platforms that publish full descriptions are expert networks, so the description figures lean towards expert work.
• Most descriptions and forms on one platform follow one template, so a platform's figure often reflects one standard paragraph or one form, and pooled shares lean on the platform with the most open roles.
• Only the first application form is read; assessments and interviews that follow on a platform's own site are visible only when the description states them.
• A step phrased in an unusual way can be missed, and a step stated inside a section that describes the work, without a word about applying or selection, is not counted.
• 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.

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
• October 2026 edition (this page)Freezes on first reading

Cite and reuse

Free to quote, chart and republish under CC BY 4.0 with a link to this page. This edition is frozen, so its figures will read the same later.

@misc{aitrainingjobs_how_ai_training_platforms_screen_experts_2026_10,
  author = {{AITraining.jobs}},
  title = {How AI Training Platforms Screen Experts, October 2026 edition},
  year = {2026},
  howpublished = {\url{https://aitraining.jobs/research/how-ai-training-platforms-screen-experts/2026-10}},
}

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