OneForma screens applicants with automatic pre-checks (no VPN, phone and ID verification) and then timed certifications. Its Help Center gives 15–90 minute time limits, pass marks typically 75–85% that vary by test, about 3 attempts for most certifications, and no pausing. A final Failed blocks every job needing that certification. This guide covers the official rules and what workers report.
Handshake AI screens fellows after they are invited to a project, through onboarding that can include training modules, a knowledge quiz, a reviewed practice task and a Persona identity check. Retakes are rare and failing ends only that project. This guide covers what Handshake's help centre says, what is paid, and what workers report.
DataAnnotation screens everyone with a Starter Assessment chosen by track at signup: about an hour, one to two hours for specialized tracks, and one attempt with no retakes. It grades thoroughness over speed and says silence may mean you were not accepted. This guide covers its FAQ, what applicants report about the Core test, and how to prepare.
Handshake AI pays US-based students, graduates and professionals to train AI models, at posted rates from up to $40 an hour to $125 for specialists. Work authorization matters more than degrees, and projects are assigned, not chosen. Here is who qualifies (including F-1 students), how matching and pay work, and how to spot fake Handshake messages.
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.
How to earn more in AI training jobs: the rate follows the credential a listing asks for. From 699 listings on this site, the bands for recording and annotation work, generalist evaluation, degree-level fields and licensed professionals, and what moves you from one to the next.
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.
Outlier and Mercor both publish the conduct that gets accounts removed: VPNs, second accounts, AI-written work, padded hours and leaked task content. What their rules say, what workers report about suspensions, and the habits that keep an account in good standing.
Being accepted on Outlier, DataAnnotation, micro1 or Handshake AI and then seeing no tasks is common, and the platforms say so in their own help pages. The four causes they name, what workers report, and what you can change.
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 ask for a tax form before your first payout. Whether it is a W-9 or a W-8BEN depends on one thing, whether the IRS treats you as a US person. What each form is for, who fills in which, and what the W-8BEN asks for, from the IRS 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.
Most AI training assessments give you one attempt, forbid AI help and are graded against guidelines you were just handed. What Mercor, Outlier and DataAnnotation publish about their tests, and the habits that follow from it.
A growing share of AI training jobs ask for more than your time: a clone of your voice, your personal Gmail and calendar, recordings of your screen, or first-person video of your home. What current listings actually ask for, what they leave unsaid, and the questions to settle before you connect or record anything.
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.
Every listing shows its pay and who it is open to.