Remote contributor work running agentic coding sessions on engineering tasks, judging AI-written code and documenting failures. Suits working software engineers with serious production or open-source experience who explain issues clearly.
Overview
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.
Roles this fits
Common backgrounds: Software Engineer, Backend Engineer, Full-Stack Developer, DevOps Engineer.
What we look for
- Professional or serious open-source experience shipping production code.
- Comfort in at least one major stack; most tasks use Python, C++, Rust, Go, or JavaScript.
- Clear written English: your explanations are the training signal.
- No degree required. We care about what you can do, not where you learned it.
How it works
Apply
Qualify
Work & get paid
Compensation
Up to $40 – $150+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ a year; some make it their full-time income.
About DataAnnotation
DataAnnotation is where 100k+ experts train the world’s leading AI models. $150M+ paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.
Apply now
Listing from DataAnnotation's job board. Details can change; the platform's page is the final word.
