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DataAnnotation is a platform where 100k+ experts contribute to training top AI models. You will run agentic coding sessions, analyze model outputs, and document failures to guide future improvements. This role emphasizes practical coding work and clear written explanations without requiring a degree.
Remote and flexible project work is common, with compensation tied to task difficulty and specialization. Expect a dynamic environment where your analyses help advance real-world AI systems.
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.