Key findings
- 2
Of the 19 platforms with at least 8 roles stating a rate, Babel Audio advertised the highest median, $105/hr, and Claru the lowest, $13/hr.
- 3
7 of 25 platforms with at least 10 open roles stated an hourly rate on every one; Perle Labs stated one on none of its 67 roles.
Figure 1
Open roles and listing activity by platform
Which platforms list the most AI training roles, and which are growing?
Sample. 3,668 roles open at the end of 17 Oct 2026 on the 29 platforms whose public job boards AITraining.jobs reads daily; listings from 20 Sep 2026 to 17 Oct 2026.
New listings leave out a platform's first week in this dataset (its back catalogue). Change compares the platform's open roles at the start and the end of the window.
A platform that posts one listing per language or country counts each one: these are listings, not people hired.
Source. AITraining.jobs Research, AI Training Platforms Compared, live data.
Figure 2
Advertised hourly pay by platform
What does each platform advertise it pays, and how often does it say?
| Platform | Median per hour | Middle half | Roles stating pay |
|---|---|---|---|
| Babel Audio | $105 to $105 | 53.5% | |
| Mindrift | $100 to $100 | 100.0% | |
| RemoExperts | $73 to $110 | 97.2% | |
| Terac | $55 to $100 | 68.2% | |
| Sovrano AI | $83 to $83 | 85.0% | |
| Handshake AI | $75 to $96 | 99.4% | |
| AfterQuery | $50 to $100 | 100.0% | |
| Mercor | $55 to $93 | 83.4% | |
| micro1 | $48 to $115 | 97.6% | |
| Invisible | $37 to $65 | 99.2% | |
| Alignerr | $35 to $80 | 100.0% | |
| Anyone AI | $40 to $45 | 100.0% | |
| SuperAnnotate (SME) | $25 to $65 | 100.0% | |
| xAI (SpaceXAI) | $40 to $40 | 100.0% | |
| OpenTrain AI | $15 to $38 | 97.6% | |
| Braintrust | $18 to $75 | 73.1% | |
| Welo Data | $7 to $28 | 77.9% | |
| Turing | $15 to $100 | 11.4% | |
| Claru | $7 to $28 | 100.0% | |
| AppenSmall sample | n/a | n/a | 9.1% |
| OneFormaSmall sample | n/a | n/a | 4.2% |
| Outlier (Scale AI)Small sample | n/a | n/a | 100.0% |
| Pasiflora AISmall sample | n/a | n/a | 28.6% |
| Perle LabsSmall sample | n/a | n/a | 0.0% |
| Pila8Small sample | n/a | n/a | 100.0% |
| RemotasksSmall sample | n/a | n/a | 66.7% |
| Sigma AISmall sample | n/a | n/a | 0.0% |
| TransPerfect DataForceSmall sample | n/a | n/a | 10.6% |
| VettoSmall sample | n/a | n/a | 15.0% |
Sample. The 3,031 roles open on 17 Oct 2026 that state an hourly rate.
Pay is the hourly figure the posting advertises (the middle of a stated range). The middle half runs from the 25th to the 75th percentile.
A median needs at least 8 roles stating a rate; platforms below that are marked as a small sample and show n/a.
Source. AITraining.jobs Research, AI Training Platforms Compared, live data.
Figure 3
Who may apply, by platform
Which platforms hire worldwide, and which limit roles to some countries?
| Platform | Open worldwide | Only listed countries |
|---|---|---|
| Alignerr | 100.0% | 0.0% |
| Vetto | 95.0% | 5.0% |
| xAI (SpaceXAI) | 93.3% | 6.7% |
| Babel Audio | 88.4% | 9.3% |
| Turing | 85.5% | 13.5% |
| RemoExperts | 83.3% | 16.7% |
| micro1 | 66.5% | 33.5% |
| Invisible | 35.7% | 64.3% |
| Pasiflora AISmall sample | 28.6% | 42.9% |
| Claru | 20.0% | 80.0% |
| OneForma | 16.7% | 83.3% |
| Appen | 14.5% | 63.6% |
| Anyone AI | 5.5% | 94.5% |
| Sovrano AI | 5.0% | 95.0% |
| Braintrust | 1.3% | 98.7% |
| SuperAnnotate (SME) | 0.5% | 99.5% |
| AfterQuery | 0.0% | 14.3% |
| Handshake AI | 0.0% | 100.0% |
| Mercor | 0.0% | 45.0% |
| Mindrift | 0.0% | 100.0% |
| OpenTrain AI | 0.0% | 40.5% |
| Outlier (Scale AI)Small sample | 0.0% | 100.0% |
| Perle Labs | 0.0% | 100.0% |
| Pila8Small sample | 0.0% | 100.0% |
| RemotasksSmall sample | 0.0% | 100.0% |
| Sigma AI | 0.0% | 100.0% |
| Terac | 0.0% | 100.0% |
| TransPerfect DataForce | 0.0% | 100.0% |
| Welo Data | 0.0% | 100.0% |
Sample. 3,668 roles open on 17 Oct 2026; shares of each platform's own open roles.
The rule is read from each posting's location text and, where that names no country, from what the posting's own description states. Countries named: distinct countries in the platform's include and exclude lists.
Source. AITraining.jobs Research, AI Training Platforms Compared, live data.
Figure 4
How long roles stay listed, by platform
Which platforms fill or pull their roles fastest?
| Platform | Median days listed | Open roles listed in the last 30 days |
|---|---|---|
| Appen | 101.8 | 52.7% |
| OneForma | 89.2 | 20.8% |
| Welo Data | 67.1 | 9.8% |
| xAI (SpaceXAI) | 64.3 | 0.0% |
| Terac | 51.1 | 72.7% |
| OpenTrain AI | 40.4 | 4.8% |
| micro1 | 39.0 | 73.0% |
| Mercor | 33.2 | 25.3% |
| Turing | 29.7 | 50.3% |
| TransPerfect DataForce | 28.7 | 13.6% |
| Braintrust | 18.5 | 29.5% |
| Alignerr | 8.0 | 90.9% |
| Mindrift | 2.3 | 100.0% |
| AfterQuerySmall sample | n/a | 7.8% |
| Anyone AISmall sample | n/a | 13.3% |
| Babel AudioSmall sample | n/a | 0.0% |
| ClaruSmall sample | n/a | 0.0% |
| Handshake AISmall sample | n/a | 12.4% |
| InvisibleSmall sample | n/a | 0.2% |
| Outlier (Scale AI)Small sample | n/a | 0.0% |
| Pasiflora AISmall sample | n/a | 0.0% |
| Perle LabsSmall sample | n/a | 3.0% |
| Pila8Small sample | n/a | 0.0% |
| RemoExpertsSmall sample | n/a | 63.9% |
| RemotasksSmall sample | n/a | 0.0% |
| Sigma AISmall sample | n/a | 22.2% |
| Sovrano AISmall sample | n/a | 55.0% |
| SuperAnnotate (SME)Small sample | n/a | 4.5% |
| VettoSmall sample | n/a | 0.0% |
Sample. Roles removed from 20 Sep 2026 to 17 Oct 2026 with a known listing date, and roles open on 17 Oct 2026.
Days listed: from the listing date the job board states (or the first day the role appeared in the feed) to the last day it was seen.
A median needs at least 10 removed roles.
Source. AITraining.jobs Research, AI Training Platforms Compared, live data.
Figure 5
What each platform hires for
Which kind of AI training work does each platform list most?
Sample. 3,668 roles open on 17 Oct 2026, by the kind of work each is classified as.
Kinds of work are this site's 12 categories of AI training work, each classified from the role's title and description.
Source. AITraining.jobs Research, AI Training Platforms Compared, live data.
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:
9,572 roles tracked, each with its history
Every role on 29 job boards, read daily since 13 Jul 2026: its pay and place, and the first and last day it was open.
6,200 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.
A regular feed
The same figures every week or month, as files.
A custom cut or benchmark
Your countries, languages or fields, or your own platform against the market.
Method and definitions
The public job boards of the AI training platforms this site tracks, read every day. 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.
- Coverage
- The platforms whose public job boards AITraining.jobs reads in full every day. Each figure states how many were read.
- Open role
- A role listed by a given day and still in its platform's feed that day.
- 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.
- Removed listing
- A role that left its platform's feed during the window.
- Days listed
- From a removed role's listing date to the last day it was seen in its feed.
- Advertised pay
- The hourly figure a posting states (the middle of a stated range). Medians need at least 8 roles stating a rate; the middle half runs from the 25th to the 75th percentile.
- 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, from AI evaluation and coding to multilingual and audio work. Every kind links to its own page.
- Window
- Live: the last 28 complete days, in UTC. Edition: one calendar month, in UTC.
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. Some platforms keep evergreen roles open for months, and some post one listing per language or country.
- Pay is what postings advertise, not what workers are paid after bonuses, tiers or rejected tasks.
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
- 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. 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). AI Training Platforms Compared (live data, 20 Sep 2026 to 17 Oct 2026). https://www.aitraining.team/research/platform-scorecard (accessed 18 Oct 2026)
BibTeX
@misc{aitrainingjobs_platform_scorecard_live,
author = {{AITraining.jobs}},
title = {AI Training Platforms Compared (live data, 20 Sep 2026 to 17 Oct 2026)},
year = {2026},
howpublished = {\url{https://www.aitraining.team/research/platform-scorecard}},
note = {Accessed 18 Oct 2026},
}More research
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