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DataAnnotation invites contributors to vibe-code with frontier models, tackle real engineering tasks, and document failures to guide future agents. You’ll analyze the AI’s work against production standards and rate its reasoning while looking for unsafe behavior.
The role emphasizes clear written English and practical software experience; no degree is required. Flexible, remote, and project-based opportunities abound for skilled contributors in the US market.
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 $40 – $150+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ 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.