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.
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.
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.
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.
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.