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Research report ยท October 2026 edition

When AI Training Roles Are Posted

Too few dated postings from 1 Oct 2026 to 31 Oct 2026 to read when AI training roles are posted.

Read the month's story: The AI Training Job Market in October 2026

Data window
1 Oct 2026 to 31 Oct 2026
31 days, UTC
Frozen
11 Nov 2026, 14:35 UTC
These figures will not change
Source
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.
Method
Version 2. Definitions
CC BY 4.0, how to cite

Every figure on this page as CSV and JSON, sent to your work email.

Key findings

There is not enough data in this window to state findings.

Figure 1

New postings by day of the week

On which days of the week are AI training roles posted?

Day (UTC)Share of an average week
Monday
n/a
Tuesday
n/a
Wednesday
n/a
Thursday
n/a
Friday
n/a
Saturday
n/a
Sunday
n/a

Sample. 0 new listings dated from 1 Oct 2026 to 31 Oct 2026 by their job board, on 0 platforms; 0 new listings in all.

The day is the posting date the job board gives, in UTC. A share is the day's postings per day of that weekday in the window, so a month with five of some weekdays is not tilted by it.

No platform's stamps are this site's own read time: on every platform fewer than half fall within 10 minutes of the first sighting.

Each platform's first week in this dataset (its back catalogue) is not counted as new.

Source. AITraining.jobs Research, When AI Training Roles Are Posted, October 2026 edition.

Figure 2

New postings by hour of the day

At what time of day are AI training roles posted?

Hour (UTC)Share of postings
00:00 to 00:59
n/a
01:00 to 01:59
n/a
02:00 to 02:59
n/a
03:00 to 03:59
n/a
04:00 to 04:59
n/a
05:00 to 05:59
n/a
06:00 to 06:59
n/a
07:00 to 07:59
n/a
08:00 to 08:59
n/a
09:00 to 09:59
n/a
10:00 to 10:59
n/a
11:00 to 11:59
n/a
12:00 to 12:59
n/a
13:00 to 13:59
n/a
14:00 to 14:59
n/a
15:00 to 15:59
n/a
16:00 to 16:59
n/a
17:00 to 17:59
n/a
18:00 to 18:59
n/a
19:00 to 19:59
n/a
20:00 to 20:59
n/a
21:00 to 21:59
n/a
22:00 to 22:59
n/a
23:00 to 23:59
n/a

Sample. 0 new listings from 1 Oct 2026 to 31 Oct 2026 whose job board gives a posting date and time, on 0 platforms.

The hour of the posting time the job board gives, in UTC.

No platform's stamps are this site's own read time: on every platform fewer than half fall within 10 minutes of the first sighting.

Source. AITraining.jobs Research, When AI Training Roles Are Posted, October 2026 edition.

Figure 3

When each platform posts

Which platforms post on weekends, and on which day and hour does each post most?

No data in this window.

Sample. 0 new listings from 1 Oct 2026 to 31 Oct 2026, by the platform that lists them. Listings only.

Dated postings: new listings whose board gives a usable posting date inside the window. Weekend: Saturday and Sunday in UTC, as a share of the platform's average week (an even spread would give 28.6%).

Busiest hour reads n/a for a board that gives a date without a time.

No row with any dated postings is a small sample: the rows differ so much that each reads on its own from its first.

Source. AITraining.jobs Research, When AI Training Roles Are Posted, October 2026 edition.

Figure 4

From posting to the public feed

How soon after a job board's posting time does a role appear in its public feed?

PlatformMedian hours to first sightingSeen within a day
All platforms with posting times
n/a
n/a

Sample. 0 new listings from 1 Oct 2026 to 31 Oct 2026 whose board gives a posting date and time inside the window.

Hours from the board's posting time to the first time this site read the role in the platform's public feed. Feeds are read every hour (about once a day before 18 Oct 2026; n/a of new listings were first seen in the 00:00 UTC hour), so part of each lag is the wait for the next read; a lag of several days means the role reached the public feed well after the date its board gives.

Boards that give only a date are left out: their lag would run from midnight of the stated day.

Only postings dated inside the window are measured, so a lag longer than the window cannot appear.

Platforms with fewer than 3 postings measured are marked as a small sample: a median needs that many values, the fewest whose span holds the true middle more likely than not.

Source. AITraining.jobs Research, When AI Training Roles Are Posted, October 2026 edition.

Figure 5

Apply clicks by day of the week

On which days of the week do people apply for AI training work?

Day (UTC)Share of an average week
MondaySmall sample
n/a
TuesdaySmall sample
n/a
WednesdaySmall sample
n/a
ThursdaySmall sample
n/a
FridaySmall sample
n/a
SaturdaySmall sample
n/a
SundaySmall sample
n/a

Sample. 0 apply clicks on AITraining.jobs from 1 Oct 2026 to 31 Oct 2026, by the weekday and hour they were made in UTC.

Human apply clicks on AITraining.jobs, on specific roles and on platforms' general sign-up links. Counted site-wide, never by platform.

Clicks follow where AITraining.jobs visitors live and when they browse: every hour and day here is UTC (09:00 UTC is early morning in the Americas and evening in East Asia), so a peak shows when this audience is awake, not when the market as a whole applies.

The last column repeats the share of new postings from the posting figure, for comparison.

Weekdays are all marked as a small sample: their clicks differ no more than chance makes them, so none is named.

Source. AITraining.jobs Research, When AI Training Roles Are Posted, October 2026 edition.

Figure 6

Apply clicks by hour of the day

At what time of day do people apply for AI training work?

Hour (UTC)Share of apply clicks
00:00 to 00:59Partial week
n/a
01:00 to 01:59Partial week
n/a
02:00 to 02:59Partial week
n/a
03:00 to 03:59Partial week
n/a
04:00 to 04:59Partial week
n/a
05:00 to 05:59Partial week
n/a
06:00 to 06:59Partial week
n/a
07:00 to 07:59Partial week
n/a
08:00 to 08:59Partial week
n/a
09:00 to 09:59Partial week
n/a
10:00 to 10:59Partial week
n/a
11:00 to 11:59Partial week
n/a
12:00 to 12:59Partial week
n/a
13:00 to 13:59Partial week
n/a
14:00 to 14:59Partial week
n/a
15:00 to 15:59Partial week
n/a
16:00 to 16:59Partial week
n/a
17:00 to 17:59Partial week
n/a
18:00 to 18:59Partial week
n/a
19:00 to 19:59Partial week
n/a
20:00 to 20:59Partial week
n/a
21:00 to 21:59Partial week
n/a
22:00 to 22:59Partial week
n/a
23:00 to 23:59Partial week
n/a

Sample. 0 apply clicks on AITraining.jobs from 1 Oct 2026 to 31 Oct 2026, by the weekday and hour they were made in UTC.

Human apply clicks on AITraining.jobs, on specific roles and on platforms' general sign-up links. Counted site-wide, never by platform.

Clicks follow where AITraining.jobs visitors live and when they browse: every hour and day here is UTC (09:00 UTC is early morning in the Americas and evening in East Asia), so a peak shows when this audience is awake, not when the market as a whole applies.

The last column repeats the share of new postings with a stated time in that hour, for comparison.

Hours are all marked as a small sample: their clicks differ no more than chance makes them, so none is named.

Source. AITraining.jobs Research, When AI Training Roles Are Posted, October 2026 edition.

Figure 7

The week of applying, in four-hour blocks

Which hours of which days draw the most applications?

Day (UTC)00:00 to 04:0004:00 to 08:0008:00 to 12:0012:00 to 16:0016:00 to 20:0020:00 to 00:00
MondaySmall samplen/an/an/an/an/an/a
TuesdaySmall samplen/an/an/an/an/an/a
WednesdaySmall samplen/an/an/an/an/an/a
ThursdaySmall samplen/an/an/an/an/an/a
FridaySmall samplen/an/an/an/an/an/a
SaturdaySmall samplen/an/an/an/an/an/a
SundaySmall samplen/an/an/an/an/an/a

Sample. 0 apply clicks on AITraining.jobs from 1 Oct 2026 to 31 Oct 2026, by the weekday and hour they were made in UTC.

Human apply clicks on AITraining.jobs, on specific roles and on platforms' general sign-up links. Counted site-wide, never by platform.

Clicks follow where AITraining.jobs visitors live and when they browse: every hour and day here is UTC (09:00 UTC is early morning in the Americas and evening in East Asia), so a peak shows when this audience is awake, not when the market as a whole applies.

Each cell is that block's share of an average week's apply clicks (per day of that weekday in the window); all cells add up to 100%.

Four-hour blocks are all marked as a small sample: their clicks differ no more than chance makes them, so none is named.

Source. AITraining.jobs Research, When AI Training Roles Are Posted, October 2026 edition.

For labs, data vendors and researchers

Buy the data behind this report

The figures above are a summary. Behind them are records we collect ourselves, every day:

  • 0 roles tracked, each with its history

    Every role on 0 job boards, read since n/a (every hour since 18 Oct 2026): its pay and place, and the first and last day it was open.

  • 0 apply clicks in 28 days

    Which roles people actually apply to, by field, pay and kind of work. It happens on this site, so nobody else can count it.

  • 39 lab and vendor hiring boards

    The job boards of 25 AI labs and 14 human-data vendors, read every day: who is hiring for human data, and who is hiring to buy it.

What you can buy

  • The records

    The rows behind any figure, with their history, not only the totals.

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Building AI and need the experts behind this data? (you contract them yourself) or (we deliver the expert work).

Investing in AI-data companies? Hiring radar is these records role by role, every day, as files.

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.

Cite and reuse

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

Citation

AITraining.jobs (2026). When AI Training Roles Are Posted, October 2026 edition. https://cyberjobs.cc/research/when-ai-training-roles-are-posted/2026-10

BibTeX

@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://cyberjobs.cc/research/when-ai-training-roles-are-posted/2026-10}},
}
Data: every figure as CSV (one line per value) and JSON, sent to your work email.Pay and open-roles data

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