If DataAnnotation has gone quiet, rejected you or never replied, there are more than twenty other platforms paying for AI training work. They differ on entry gates, published pay, payout rails and where they accept people from. Here they are grouped by who they suit, with the four names that turn out to be the same company as a platform you already know.
Guides to AI training work
What these platforms actually pay, how to get accepted, and which ones are worth your time, written from the listings on this site.
Filter guides
Type: Platform comparison
- How-to2 guides
- Interview prepno guides alongside your other filters
- Pay breakdown2 guides
- Platform comparison3 guides, applied. Activate to remove
- Country guide1 guide
- Safety checkno guides alongside your other filters
- Overview8 guides
Platform: Invisible Technologies
- Alignerr4 guides
- Appenno guides alongside your other filters
- DataAnnotation2 guides
- Ethosno guides alongside your other filters
- Handshake AI1 guide
- Invisible Technologies3 guides, applied. Activate to remove
- Mercor6 guides
- micro15 guides
- Mindrift1 guide
- OneFormano guides alongside your other filters
- Outlier3 guides
- Prolific1 guide
- Remotasksno guides alongside your other filters
- Scale AIno guides alongside your other filters
- SuperAnnotateno guides alongside your other filters
- TELUS Digital AI Communityno guides alongside your other filters
- Tolokano guides alongside your other filters
3 guides matching these filters
Clear all- Platform comparisonRead guide
Of the 699 roles on this site, 201 are entry or junior level, and three platforms post all of them. What micro1, Mercor and Invisible Technologies each offer beginners, what the work pays, and which beginner listings are tied to one country.
Platform comparisonRead guideEngineering is where AI training pays best, but the listings describe very different jobs under similar titles. Using more than a hundred engineering roles on this site, here are the five kinds of work (auditing, task authoring, environment building, reviewing agent output, building on pre-release models), what each pays, who gets in, and how to pick.
Platform comparisonRead guide
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