Devops Engineer - Ai Trainer

The newest models can vibe-code a whole feature in minutes. Someone has to check whether that code actually works, and that someone is you.
You'll run agentic coding sessions on real engineering tasks, analyze what the models produce, and red-team them until they fail in interesting ways. Every failure you document teaches the next generation of coding agents.
What you’ll actually do
Vibe-code with frontier models
on real tasks: fix a bug, extend an API, ship a feature, and see how far the model gets on its own.
Analyze the AI's work
against production standards: find the bugs, explain the failure, and rate the model's reasoning.
Red-team the models
to expose unsafe code, faked test passes, and confidently wrong solutions before real users hit them.
What we look for
Professional or serious open-source experience shipping production code.
Clear written English: your explanations are the training signal.
No degree required. We care about what you can do, not where you learned it.
CompensationUp to $150+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year;
some make it their full-time income.
About DataAnnotationDataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.
#J-18808-Ljbffr