AI Training Work Without Experience

Method and definitions

The public job boards of the AI training platforms this site tracks, read every day. Descriptions come from the platforms whose boards publish them in full. 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.

Generalist role

An open role whose kind of work is not law, medicine and finance or coding (professional by definition), whose title names no expert field, and whose title has no level word (senior, staff, principal, lead, director, manager), expertise word (expert, specialist, SME, professional, experienced, advanced), profession (engineer, scientist, researcher, technician, inspector and similar) or degree or credential (PhD, MD, JD, MBA, master's, certified, licensed, attorney, physician, nurse). An explicit entry word in the title (entry level, no experience, junior, internship, trainee, generalist) cancels the level, expertise and profession words, not a field or a credential.

Expert field

Named in the title, matched as whole words against the vocabulary of the expert-fields report.

No stated requirement

A full description that mentions no degree and no current enrolment, no number of years of experience and no professional credential, read with the patterns published in the requirements report. A mention can be a preference ('a degree is a plus'); it still counts as stating one.

Entry statement

A description that says no experience, degree or formal background is needed, that the role is entry level or has a low barrier to entry, that students, graduates or beginners are welcome, or that a high school diploma is the education asked for. Each is a published pattern.

No prior AI experience

A description saying no prior AI, annotation or model-evaluation experience is needed. Counted on its own line and never as an entry statement: it says the AI-training part will be taught, usually beside a request for expertise in a field.

Within-kind pay gap

For each kind of work with at least 5 priced roles on both sides, the median advertised rate of generalist roles over the median of other roles, minus one; averaged across kinds, weighted by the generalist roles, as in the pay premiums report.

Advertised pay

The hourly figure a posting states (the middle of a stated range). Medians need at least 8 roles stating a rate.

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. Every kind links to its own page.

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 generalist role is a reading of what a title signals, not a promise of acceptance: it can still be competitive, need a native language or a test, be open in a few countries only, or state a professional requirement only in its description (a building-code reviewer, for example).
• Some platforms write 'Expert' or 'Specialist' into every title, including language roles that ask mainly for fluency; those count as asking for expertise, so the generalist share is a cautious one, and the report states how many roles that word alone keeps out.
• Full descriptions come from a few expert networks only, so the description figures lean towards expert work and describe those platforms.
• A pattern can miss a requirement phrased in an unusual way, and a mention is not always a requirement; nothing is inferred beyond what the text says.
• Pay is what postings advertise, not what workers earn after task rates, tiers or unpaid qualification time.

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

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.

@misc{aitrainingjobs_ai_training_work_without_experience_live,
  author = {{AITraining.jobs}},
  title = {AI Training Work Without Experience (live data, 20 Sep 2026 to 17 Oct 2026)},
  year = {2026},
  howpublished = {\url{https://www.aitraining.team/research/ai-training-work-without-experience}},
  note = {Accessed 18 Oct 2026},
}

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