for trainers

guides for trainers.

Practical playbooks on doing the work well, getting hired, getting paid, and building a career in AI training.

start here
The basics — what this work is and how to begin.
what AI training actually is data annotation, explained translation and localization, explained what RLHF means, in plain terms how to begin from nothing to your first payment starting out: roles, skills, first steps
job types
The different kinds of tasks you'll be asked to do.
rating responses: the work, the pay, the platforms ranking and comparison work judging prompts and instructions safety and policy review work red teaming: breaking models on purpose building environments for AI to learn in
pay & rates
What the work actually pays, and how to earn more.
what translation and localization pays how the money actually works why pay differs by country getting from $10 an hour to $50 can this replace a salary? is this work worth your time?
getting hired
How to apply, qualify, and actually land tasks.
writing a résumé that gets you placed passing the qualification tests getting accepted, faster why the interviews aren't turning into work
specialist domains
Higher-paying work for people with expertise.
specialist or generalist: which pays more training AI on finance training AI on medicine
platforms & companies
Where the work is, and what each platform is like.
where beginners should start finding the platform that fits your skills five platforms, tried honestly
staying & growing
Keeping your accounts healthy and building a career.
staying on the right side of the rules how identity verification works why the guidelines matter more than you think building something lasting a simple way to grow a day in the work
understanding the industry
Why the work behaves the way it does.
how the industry really works why the work feels unstable why the work feels random accepted, but no tasks coming why accounts go quiet, then come back where this work is headed
regional & access
Opportunities by location and background.
this work doesn't require native English no degree required