Remote work writing rigorous problems and verifying AI mathematical reasoning step by step. Suits mathematicians with graduate study or competition background who can write clear, rigorous proofs.
Overview
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 do
- Craft problems that expose weak mathematical reasoning, from olympiad-style puzzles to graduate-level proofs.
- Review AI solutions step by step: catch invalid derivations, flag unjustified leaps, and rate the quality of the reasoning.
- Write the gold-standard solution when the model falls short, with the rigor of a referee report.
Roles this fits
Common backgrounds: Mathematician, Applied Mathematician.
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.
How it works
Apply
Qualify
Work & get paid
Compensation
Up to $40 – $125+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ a year; some make it their full-time income.
About DataAnnotation
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.
Apply now
Listing from DataAnnotation's job board. Details can change; the platform's page is the final word.
