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DataAnnotation is seeking contributors who can probe frontier models by vibe-coding real engineering tasks, fixing bugs, extending APIs, and shipping features, then evaluating how far the model can operate autonomously. You will document failures to teach next-gen coding agents, rate reasoning, and help improve safety by red-teaming.
Clear, precise written English is essential. This flexible, remote role offers competitive compensation, reflecting the impact of your analyses on cutting-edge AI
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.
Up to $150+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.
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.