When AI Training Roles Are Posted

Method and definitions

The posting dates and times the AI training platforms' public job boards give for new listings, read every hour, and the apply clicks made on AITraining.jobs, counted by weekday and hour 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.

Posting time

The date and time a job board gives for a new listing, in UTC. Only postings dated inside the window are counted.

New listing

A role that first appeared during the window 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. When this site changes how it reads a platform's board (a cap lifted, a page kind or department read too, a relevance rule changed), the roles that came into view or left it from that change to the end of its week are this site's reading, not the platform's hiring: they are not new listings or removals, and changes in open roles are measured like for like across it. Each platform's report says what changed.

Posting stamp

What a board's posting field holds, read from its own new listings: a date and time; a date only (at least 90% at exactly midnight UTC, counted by weekday but not by hour); this site's own read time (at least half within 10 minutes of the first sighting, left out); a time later than this site's first sighting (at least a quarter more than an hour after it, an edit time, left out); or no date (left out).

Share of an average week

A weekday's count per day of that weekday in the window, over the same rate summed across the week, so a month with five of some weekdays is not tilted by it.

Weekend

Saturday and Sunday in UTC. An even spread over the week would put 28.6% there.

Lag to the feed

Hours from a board's posting time to the first time this site read the role in its public feed. Feeds are read every hour (about once a day before 18 Oct 2026), so part of the lag is the wait for the next read.

Apply click

A click on an apply button on AITraining.jobs that opens a platform's application page, on a specific role or on a platform's general sign-up link. Made by a person: automated traffic is set aside as it is recorded. Counted site-wide, never by platform.

Window

Live: the last 28 complete days, in UTC. Edition: one calendar month, in UTC.

What this data cannot tell you

• Apply clicks follow where AITraining.jobs visitors live and when they browse. Every day and hour is stated in UTC, so a peak shows when this audience is awake, not when the market as a whole applies.
• Posting times are what the job boards state. A date-only board may give its local date, and boards that give no date, or a date later than the role first appeared, are left out (each figure names them).
• The largest boards dominate the hour figures, and roles are often posted in batches, so a few batches can make one hour stand out.
• Platforms that recruit without a public job board are not counted.
• An apply click starts an application. It is not a submitted application or a hire, and what is shown first gets clicked more.

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
• September 2026 editionFrozen 10 Oct 2026
• August 2026 editionFrozen 10 Oct 2026

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_when_ai_training_roles_are_posted_2026_10,
  author = {{AITraining.jobs}},
  title = {When AI Training Roles Are Posted, October 2026 edition},
  year = {2026},
  howpublished = {\url{https://aitraining.jobs/research/when-ai-training-roles-are-posted/2026-10}},
}

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