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.
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.
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.
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.
Every listing shows its pay and who it is open to.