Alignerr is a real, paying platform run by Labelbox, a San Francisco data company founded in 2018. It states a rate on each job and pays weekly. Workers also report removals without explanation, unpaid evaluation work and pay held after a deactivation, and fake recruiters use lookalike domains. Here is what Alignerr publishes, what we found on lawsuits, and what workers say.
Mercor and Alignerr both pay experts weekly to train AI, but they screen, pay and hire differently. Mercor runs a 20-minute AI interview, background checks and 304 listings on this site; Alignerr, run by Labelbox, adds a one-shot Zara interview for some jobs and is open almost worldwide. Here is who should pick which, and how to do both.
Alignerr's path to paid work runs through a resume upload, a job application, a Persona ID check, a contract and billing setup, and sometimes a Zara AI interview. Here is each step as Alignerr and its Labelbox help centre describe it, how pay and payouts work, why accepted people often wait, and what raises your chances of being picked.
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.
AI response evaluation jobs pay you to judge a model's answer against a rubric and explain why. What one task involves, who hires (133 listings on this site) and what it pays, from $14 to $400 an hour.
What RLHF is, what a worker actually does in an RLHF task (comparing, rating and rewriting model answers), who hires for it and what the 26 listings on this site that mention it pay.
Mercor, Alignerr and DataAnnotation all verify identity through Persona, and Outlier asks for ID and a phone from your country of residence. What each check involves, why a VPN breaks it, how it differs from a background check, and where your data goes.
The typical AI training listing on this site advertises about $70 an hour, but the range runs from $6 to $400. From 699 listings as of 29 September 2026: how hourly rates spread, what each field and level pays, and how per-task and salaried roles compare.
Getting accepted on AI training platforms is mostly automated matching, and the platforms publish what their matching reads. Five things that shorten the path on Mercor, micro1, Alignerr, Outlier and DataAnnotation, each taken from the platform's own help pages.
No AI training platform promises work after acceptance, so applying to several at once is the sensible default. How to shortlist, reuse one CV and one round of preparation, sequence the unpaid steps, and avoid the rules that catch people working several platforms.
AI training platforms pay through Stripe, Wise, PayPal and a few others, and each of those services has its own list of countries it serves. Which platform on this site pays through what, and where each payout service says it is unavailable or limited, from the services' own pages.
An AI training resume is read first by a parser and a fit check, then by a person, and later by a background check. What Mercor, Outlier and Alignerr say they do with your CV, and illustrative before-and-after bullets for three common backgrounds.
Engineering 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.
micro1 publishes more about its interview questions than most candidates realize: example questions by role, the four question types, and a knowledge base describing skill modules, coding and annotation exercises, proctoring and language rules. Here is what it says, what candidates report being asked, and how to prepare.
Five platforms come up again and again in remote AI training work in 2026, and each gates entry, publishes pay and pays out differently. Here is a side-by-side of what Mercor, micro1, Outlier, Alignerr and Handshake AI publish about entry, pay, payouts and eligibility, and which to apply to first depending on who you are.
The category is real: Scale AI, Labelbox and Handshake all run one, and micro1 publishes peer-reviewed research on its own interviewer. That is exactly why the imitations work. Here is what a genuine platform does, the things that feel wrong but are normal, and the signals that mean stop, drawn from what the five platforms on this board actually publish.
Every listing on this board advertises an hourly rate, and almost none of them pay by the hour. What you are really agreeing to is a per-task rate, a payout schedule, and a payment rail that has to reach your country. Here is what each platform publishes about all three, and the gap between the number in the ad and the number in your account.
Every platform runs the same five steps in a different order: profile, eligibility, assessment, onboarding, then a wait. Most people do them backwards and burn an evening on an unpaid AI interview for a project their country was never open to. Here is the sequence that fails fast and cheap, with what each of the five platforms actually asks for.
"AI training" covers three different jobs: labeling data, judging what a model produced, and doing your own professional work so a model can learn from it. They pay differently, screen differently, and want different people. Here is what separates them, and which one the listings on this board are actually offering.
Country eligibility is decided at two gates: whether the platform can engage you at all, and whether the specific project is open where you live. Of the five platforms we track, two publish a policy you can check in advance, and only one tells you, on the listing itself, which country a given project is open in. This guide sets out what each actually says.
Zara is the AI interviewer standing between you and almost every micro1 role, and it turns up at Alignerr too. micro1 has published a research paper describing how it works, including a free practice mode and a feedback report that only one rejected candidate in ten ever asks for.
Every listing shows its pay and who it is open to.