Key findings
There is not enough data in this window to state findings.
Figure 1
How many roles are still listed, week by week
What share of AI training roles is still listed one, two, four or eight weeks after it goes up?
| Age of the listing | Still listed |
|---|---|
| After 1 weekPartial week | n/a |
| After 2 weeksPartial week | n/a |
| After 3 weeksPartial week | n/a |
| After 4 weeksPartial week | n/a |
| After 6 weeksPartial week | n/a |
| After 8 weeksPartial week | n/a |
Sample. 0 roles listed from 3 Aug 2026 to 31 Oct 2026 with a known listing date, 0 of them removed by 1 Nov 2026; back catalogues left out.
Kaplan-Meier estimate: a role that has come down ends at its last sighting; a role still listed is counted for as long as it has been seen, then leaves the count without being treated as removed.
Age runs from the listing date the job board states (or the first day the role appeared in the feed, if earlier or not stated), in hours. A role first seen more than 2 days after that date surfaced in the feed late and is counted only from the age at which it was first seen; within 2 days it is the daily read catching up and the role counts from its listing day.
A share is read from the roles listed at least that long before 1 Nov 2026, with their count beside it; ages no role of the cohort has reached yet read n/a.
Source. AITraining.jobs Research, How Long AI Training Roles Stay Open, October 2026 edition.
Figure 2
How long roles stay listed, by kind of work
Which kinds of AI training work turn over fastest, and which stay listed longest?
| Kind of work | Still listed after 2 weeks | After 4 weeks | Median lifetime (days) |
|---|---|---|---|
| All kinds of work | n/a | n/a | n/a |
Sample. 0 roles listed from 3 Aug 2026 to 31 Oct 2026 with a known listing date, by the kind of work they are classified as.
Shares still listed and the median lifetime are Kaplan-Meier estimates, so roles still listed count for as long as they have been seen.
Median lifetime n/a: more than half of the group's roles were still listed at the oldest age it can be read at, so its median is not reached yet (it is longer than the time observed), or fewer than 3 of its roles were listed long enough ago to read it (a middle needs that many). A share reads n/a when none of the group's roles was listed that long ago.
Kinds of work whose roles were observed listed for fewer than 1 days in all are marked as a small sample and not ranked: below that the pace of removal of the kinds of work together says more about them than their own removals (the weight of that pace, fitted on their own removals).
Source. AITraining.jobs Research, How Long AI Training Roles Stay Open, October 2026 edition.
Figure 3
How long roles stay listed, by platform
On which platforms do AI training roles come down fastest?
| Platform | Still listed after 2 weeks | After 4 weeks | Median lifetime (days) |
|---|---|---|---|
| All platforms | n/a | n/a | n/a |
Sample. 0 roles listed from 3 Aug 2026 to 31 Oct 2026 with a known listing date, by the platform that lists them. Listings only.
Median lifetime n/a: more than half of the group's roles were still listed at the oldest age it can be read at, so its median is not reached yet (it is longer than the time observed), or fewer than 3 of its roles were listed long enough ago to read it (a middle needs that many). A share reads n/a when none of the group's roles was listed that long ago.
Re-listed: a removed role followed, within 0 days of its last sighting, by a listing with the same title on the same platform (no removed role of the cohort came back under its title; shown when the platform's removed roles read on their own: at least 1 removed roles, the weight fitted on the platforms' own counts). n/a of all removed roles in the cohort were. A platform that takes roles down and posts them again, for example weekly, has short lifetimes here although the opening itself may run for months; listings are counted as the feeds publish them, not merged further.
Some platforms post one listing per country or language, each with its own lifetime.
Platforms whose roles were observed listed for fewer than 1 days in all are marked as a small sample and not ranked: below that the pace of removal of the platforms together says more about them than their own removals (the weight of that pace, fitted on their own removals).
Source. AITraining.jobs Research, How Long AI Training Roles Stay Open, October 2026 edition.
Figure 4
Why the removed-only median is too short
How much does counting only the roles that have come down understate how long roles stay listed?
| Kind of work | Still listed on 1 Nov 2026 | Median days, removed roles only | Median lifetime, all roles (days) |
|---|---|---|---|
| All kinds of work | n/a | n/a | n/a |
Sample. The same 0 roles listed from 3 Aug 2026 to 31 Oct 2026; the kinds of work whose lifetimes read on their own (as in the figure by kind of work).
Removed roles only: the median days from listing to last sighting among the roles that have already come down, the measure a 'median days listed' in a hiring report states. It cannot see the roles still listed, which are the longer-lived ones, so it comes out short, the more so the more roles are still up.
All roles: the Kaplan-Meier median, which counts every role still listed for as long as it has been seen.
Median lifetime n/a: more than half of the group's roles were still listed at the oldest age it can be read at, so its median is not reached yet (it is longer than the time observed), or fewer than 3 of its roles were listed long enough ago to read it (a middle needs that many). A share reads n/a when none of the group's roles was listed that long ago.
A removed-only median needs at least 3 removed roles: a middle, the one minimum of every figure over independent units.
Source. AITraining.jobs Research, How Long AI Training Roles Stay Open, October 2026 edition.
Figure 5
Evergreen roles: open longer than any kind of listing lasts
How many of the roles open now have been listed for the evergreen age or more?
| Kind of work | Evergreen | Share of open roles |
|---|---|---|
| All kinds of work | 0 | n/a |
Sample. 0 roles open on 1 Nov 2026, of every listing date, back catalogues included.
Evergreen: no role of the cohort listed from 3 Aug 2026 to 31 Oct 2026 has come down yet, so no age is read and no role is called evergreen.
A back-catalogue role whose board states no listing date is aged from the first day this site saw it, so its age, and the count of evergreen roles, is a floor.
No row with any open roles is a small sample: the rows differ so much that each reads on its own from its first.
Source. AITraining.jobs Research, How Long AI Training Roles Stay Open, October 2026 edition.
Figure 6
Weekly churn of open roles
What share of the open AI training roles comes down each week?
| Week | Share removed in the week | Open at the week's start |
|---|---|---|
| 3 to 9 AugPartial week | n/a | 0 |
| 10 to 16 AugPartial week | n/a | 0 |
| 17 to 23 AugPartial week | n/a | 0 |
| 24 to 30 AugPartial week | n/a | 0 |
| 31 Aug to 6 SepPartial week | n/a | 0 |
| 7 to 13 SepPartial week | n/a | 0 |
| 14 to 20 SepPartial week | n/a | 0 |
| 21 to 27 SepPartial week | n/a | 0 |
| 28 Sep to 4 OctPartial week | n/a | 0 |
| 5 to 11 OctPartial week | n/a | 0 |
| 12 to 18 OctPartial week | n/a | 0 |
| 19 to 25 OctPartial week | n/a | 0 |
Sample. Every complete ISO week (Monday to Sunday, UTC) from 3 Aug 2026 to 31 Oct 2026, on the platforms already tracked at each week's start.
Churn: of the roles open at 00:00 UTC on the Monday, the share last seen during that week and gone from the feed by the end of the observation. Roles listed and removed within the same week are not in the rate; they are counted among the new listings.
Each week counts only platforms tracked before it began, so a platform added to the dataset never reads as churn or growth.
A platform that takes a batch of roles down at once (a project closing, a board reorganised) shows as a single high week.
No row with any roles open at the week's start is a small sample: the rows differ so much that each reads on its own from its first.
Source. AITraining.jobs Research, How Long AI Training Roles Stay Open, October 2026 edition.
For labs, data vendors and researchers
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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.
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Which roles people actually apply to, by field, pay and kind of work. It happens on this site, so nobody else can count it.
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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
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The rows behind any figure, with their history, not only the totals.
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Method and definitions
The public job boards of the AI training platforms this site tracks, read since 3 Aug 2026 (every hour since 18 Oct 2026). 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.
- Listing date
- The date the platform's job board gives for the posting, or else the first day the role appeared in the feed. A role that arrived with a platform's back catalogue, or came into view with a change in how this site reads its board, and gives no date has no known listing date.
- Cohort
- Every role with a known listing date listed in the 26 weeks to the end of the period (from 3 Aug 2026, the start of this site's index, at the earliest), except each platform's back catalogue: the roles it already had up in its first week in this dataset.
- Lifetime
- From the listing date to the last day the role was seen in its platform's feed, in hours, stated in days. A role still listed at the end of the period has lasted at least that long: it is censored, not removed.
- Still listed after N weeks
- The Kaplan-Meier estimate of the share of roles still in their feed N weeks after their listing date. It counts every role for as long as it has been seen, so roles still listed are not mistaken for short-lived ones. A role first seen more than two days after its listing date surfaced late and counts only from the age it was first seen.
- Median lifetime
- The age by which half the roles are estimated to have come down. Not reached when more than half are still listed at the oldest age the data covers.
- Removed-only median
- The median days from listing to last sighting among roles that have already come down, the usual 'median days listed'. It leaves out the roles still up, which are the longer-lived ones, so it is shorter than the median lifetime.
- Re-listed
- A removed role followed by a listing with the same title on the same platform within the re-posting window: the gaps from a removal to the next same-title listing are fitted by kinds (most removed roles never come back), and a gap counts while it is more likely of the shortest kind, a platform posting the role again, than of every longer kind, a later opening with the same title.
- Evergreen role
- A role open at the end of the period and listed longer than the age at which even a listing of the longest-lived kind is more likely down than up: the cohort's lifetimes fitted by kinds, each with its own daily chance of coming down, and that age is the first whole day t with q to the power t at most one half, q the longest-lived kind's daily chance of staying up.
- Weekly churn
- Of the roles open at 00:00 UTC on a Monday, the share removed during that ISO week, on the platforms tracked before the week began.
- 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: roles listed in the 26 weeks to yesterday (from 3 Aug 2026 at the earliest), in UTC. Edition: roles listed in the 26 weeks to the end of that month (from 3 Aug 2026 at the earliest), observed to the end of the month.
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 listing is not a hire, and a removed listing may have been filled, paused or closed: platforms do not say which.
- Some platforms take roles down and post them again (some weekly) or post one listing per country or language, so a short listing life is not always a short opening. The re-listing column shows where.
- Feeds are read every hour (about once a day before 18 Oct 2026): a role listed and removed between two reads may be missed, and a removal is dated to the last read that still saw the role.
- Ages beyond what the cohort has been observed for are not estimated, so a young edition shows the longer ages as n/a.
- A platform that takes a batch of roles down at once (a project closing, a board reorganised) shows as a single high week of churn.
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 follows every role listed in the 26 weeks to the last complete day (from 3 Aug 2026 at the earliest), 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 dataEvery role listed in the last 26 weeks, recomputed daily
- October 2026 edition (this page)Frozen 11 Nov 2026
- September 2026 editionFreezes on first reading
- August 2026 editionFreezes on first reading
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). How Long AI Training Roles Stay Open, October 2026 edition. https://cyberjobs.cc/research/how-long-ai-training-roles-stay-open/2026-10
BibTeX
@misc{aitrainingjobs_how_long_ai_training_roles_stay_open_2026_10,
author = {{AITraining.jobs}},
title = {How Long AI Training Roles Stay Open, October 2026 edition},
year = {2026},
howpublished = {\url{https://cyberjobs.cc/research/how-long-ai-training-roles-stay-open/2026-10}},
}More research
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