Where AI Labs Are Pushing: The Expertise Being Hired, Week by Week

Method and definitions

The public job boards of the AI training platforms this site tracks, read every day. Fields and languages are read from role titles. Listings only. 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.

Fixed panel

The platforms tracked for at least a full week before the first week counted. A platform added later never reads as growth, and neither do the old roles a newly tracked board surfaces in its first days.

Open roles in a week

The average number of the group's roles listed on the week's days (00:00 UTC each day), on the fixed panel.

Change

Open roles in the last complete week against the first, in percent. Groups with fewer than 10 open roles in the first week are marked as small samples and never ranked.

New listing

A role that first appeared during the week on a platform already tracked before that week. A platform's first week in this dataset is its back catalogue and is not counted as new.

Acceleration

New listings a week over the last four complete weeks against the four before, in percent (two against two in an edition month with four complete weeks). Shown when those weeks hold at least 10 new listings.

Appeared, vanished, began, stopped

Appeared: no role open on any day of the first week, at least one on average in the last; vanished, the reverse. Began: no new listing before the last weeks of the acceleration comparison, some in them; stopped, the reverse.

Expert field and language

Named in a role's title, matched as whole words with the vocabularies of the expert fields and languages reports. A role naming two counts for both.

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.

Window

Live: the last twelve complete ISO weeks (Monday to Sunday, UTC), from the week of 3 Aug 2026 at the earliest. Edition: the complete ISO weeks of one calendar month.

What this data cannot tell you

• Platforms recruit for their clients' projects, so hiring is a sign of where labs buy data, not a statement by any lab. Which lab is behind a role is not published.
• One platform posting a batch moves a group's numbers; the growth tables say how many platforms listed new roles in each group.
• A listing is not a hire. Some platforms keep evergreen roles open for months, and some post one listing per language or country.
• Generic titles hide the field or language of many roles, so a group's counts are a floor.
• Platforms that recruit without a public job board are not counted, and platforms added to the dataset after the window opens are left out of it.
• Before 3 Aug 2026 this dataset's feeds were still being added and tuned, so the series does not reach back further.

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 12 complete weeks (from 3 Aug 2026 at the earliest) and moves on every Monday. 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 12 complete weeks
• September 2026 editionFrozen 11 Oct 2026
• August 2026 editionFrozen 11 Oct 2026

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_where_labs_are_pushing_live,
  author = {{AITraining.jobs}},
  title = {Where AI Labs Are Pushing: The Expertise Being Hired, Week by Week (live data, 3 Aug 2026 to 11 Oct 2026)},
  year = {2026},
  howpublished = {\url{https://www.aitraining.team/research/where-labs-are-pushing}},
  note = {Accessed 18 Oct 2026},
}

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