Dynamical Systems Researcher - AI Trainer

Frontier models still fail at rigorous multi-step mathematics: invalid derivations, unjustified leaps, and confidently wrong final answers. Automated checks can't grade a proof. You can. As a Mathematician you'll evaluate and correct mathematical reasoning across everything from competition problems to graduate-level material, and your judgment becomes the standard the models learn from. What you’ll actually doCraft problemsthat expose weak mathematical reasoning, from olympiad-style puzzles to graduate-level proofs. Review AI solutionsstep by step: catch invalid derivations, flag unjustified leaps, and rate the quality of the reasoning. Write the gold-standard solutionwhen the model falls short, with the rigor of a referee report. What we look for Strong background in pure or applied mathematics through graduate study, competition math, or equivalent experience. Fluency writing precise, well-structured proofs (LaTeX comfort helps).Clear written English: your explanations are the training signal. No degree required. We care about what you can do, not where you learned it. Compensation Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income. About DataAnnotation DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.