Key findings
- 1
No listings by Turing were read from 14 Oct 2026 to 10 Nov 2026; the other platforms had 0 open roles on 10 Nov 2026.
Figure 1
Turing against the other platforms
How does Turing compare with the rest of the market on size, pay, reach and turnover?
| Measure | Turing | Other platforms | Its rank (1 = highest) |
|---|---|---|---|
| Open roles on 10 Nov 2026 | 0 | 0 | n/a |
| Share of all open roles | n/a | n/a | n/a |
| New listings in the window | 0 | 0 | n/a |
| Kinds of work listed | 0 | 0 | n/a |
| Open roles stating an hourly rateSmall sample | n/a | n/a | n/a |
| Median advertised paySmall sample | n/a | n/a | n/a |
| Open roles accepting any countrySmall sample | n/a | n/a | n/a |
| Median days listed, removed rolesSmall sample | n/a | n/a | n/a |
Sample. 0 roles Turing listed open at the end of 10 Nov 2026, beside the 0 open on the other 0 platforms AITraining.jobs reads; listings from 14 Oct 2026 to 10 Nov 2026.
Other platforms: every other platform read over the same window, pooled (counts are summed, medians are taken over all their distinct rates together).
Pay is measured as on the job board: one sample per distinct advertised rate (the middle of a stated range; a role posted again at the same rate counts once), and an advertised maximum ("up to $X/hr") is a ceiling, not a rate, so it is counted and left out. Typical pay is the 25th percentile of what roles pay (the middle of each advertised range) to the 90th-percentile advertised ceiling; it and the median are rounded to $5 ($1 under $20), as on every list.
Rank among the 0 platforms with open roles. A share is ranked where the platform's open roles outweigh the average of the platforms it leans on, the weight fitted on every platform's own count (here 1 open roles for stating a rate, 1 open roles for accepting any country); a pay median needs 3 distinct advertised rates and days listed 3 removed roles with a known listing date. A platform below one is not ranked on it. Days listed rank longest first.
Listings only: what the platform's public job board shows.
Source. AITraining.jobs Research, Turing Hiring Data, live data.
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Method and definitions
The public job boards of the AI training platforms this site tracks, read every hour. Turing's figures come from its own public listings only; full descriptions and application forms are read where its job board publishes them. 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.
- Other platforms
- Every platform this site reads other than Turing, over the same window and pooled: counts are summed and medians are taken over all their rates together. Turing is compared with the rest of the market, not with a market that includes it.
- Rank
- Its place among the platforms with open roles on the last day of the window, highest first (longest first for days listed). A share is ranked where the platform's open roles read on their own among the platforms (they reach the weight of the platforms' average share, fitted on their own counts), a pay median from 3 distinct advertised rates and days listed from 3 removed roles, so a platform below one is not ranked on that measure.
- Open role
- A role listed by a given day and still in its platform's feed that day. Week by week, open roles are counted at the end of each week (Sunday, UTC).
- Back catalogue
- The roles already listed in the week a platform was first tracked. That week is marked in the weekly series and its roles are not counted as new listings; weeks before it are left out.
- New listing
- A role that first appeared during the window on a platform already tracked before that week, other than with a change in how this site reads its board (below).
- Removed listing
- A role that left its platform's feed during the window, other than with a change in how this site reads its board (below). When most removals or new listings fall on one day, the figure says so: one large change to a board moves the window's flow.
- Change in our reading
- 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. This site has read Turing's board the same way since the index began.
- Days listed
- From a removed role's listing date to the last day it was seen in its feed. A median needs at least 3 removed roles with a known listing date.
- Advertised pay
- Measured exactly as the job board measures any list of roles, so a median here is the median Turing's pay page states for the same roles: one sample per distinct advertised rate (the middle of a stated range; a role posted again at the same rate counts once), and an advertised maximum ("up to $X/hr") is a ceiling, not a rate, so it is counted and left out. Typical pay is the 25th percentile of what roles pay (the middle of each advertised range) to the 90th-percentile advertised ceiling; it and the median are rounded to $5 ($1 under $20) and need at least 3 distinct rates.
- Compared within the same kinds of work
- For each kind of work where both the platform and the other platforms state at least 3 distinct hourly rates, its median over theirs, minus one; averaged across those kinds, weighted by the platform's distinct rates, so a platform listing better-paid work is not read as paying more for the same work. It needs two such kinds.
- Location rule
- Read from each posting's location text and, where that names no country, from what the posting's own description states: open worldwide, worldwide except listed countries, only listed countries, or no rule stated.
- 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.
- Title word, language, field
- Read from titles as whole words with the vocabularies of the job titles, languages and expert fields reports; a title can count for several.
- Mention
- A description mentions a degree, credential, step or term when it contains one of the patterns published in the requirements report. A mention may be a requirement or a preference.
- Application form
- The fields an applicant fills in on the platform's own application page, read from its applicant-tracking system. Required: the form will not submit without the field.
- Window
- Live: the last 28 complete days, in UTC, with the weekly series over the last twelve complete ISO weeks from the week of 3 Aug 2026 at the earliest. Edition: one calendar month, in UTC, its weeks cut at the month's edges.
What this data cannot tell you
- Platforms that recruit without a public job board are not counted, and a platform may staff projects it never lists: its listings are what it advertises, not everything it hires for.
- A listing is not a hire. Some platforms keep evergreen roles open for months, and some post one listing per language or country.
- Listings only: how many people apply to a platform is never published here.
- Pay is what postings advertise, not what workers are paid after bonuses, tiers or rejected tasks.
- Full descriptions and application forms are published by some job boards only, so those figures appear only for the platforms whose boards publish them, and describe the roles open on the day they were read.
- A removed listing may have been filled, paused or closed: platforms do not say which.
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 data (this page)Last 28 complete days, recomputed daily
- October 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. Live figures change daily: cite a monthly edition for numbers that will read the same later, or keep the access date.
Citation
AITraining.jobs (2026). Turing Hiring Data (live data, 14 Oct 2026 to 10 Nov 2026). https://cyberjobs.cc/research/turing-hiring-data (accessed 11 Nov 2026)
BibTeX
@misc{aitrainingjobs_turing_hiring_data_live,
author = {{AITraining.jobs}},
title = {Turing Hiring Data (live data, 14 Oct 2026 to 10 Nov 2026)},
year = {2026},
howpublished = {\url{https://cyberjobs.cc/research/turing-hiring-data}},
note = {Accessed 11 Nov 2026},
}More research
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