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DataAnnotation is seeking a remote contributor to run agentic coding sessions on real engineering tasks, analyze model outputs, and fix issues as they arise. You’ll evaluate how the models perform against production standards and document failures to help improve future iterations.
We value clear written English, practical coding experience, and a performance-driven mindset. No degree is required; your ability to demonstrate what you can do matters more than where you learned it.
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.