Mathematics Expert (Master’s/Ph.D.)
Overview
This role works on projects that assess and refine large language models using advanced mathematical reasoning. You will design challenging multi-step problems, solve them on your own, and translate proofs into the formal language of Lean. The job also involves writing reliable Python code for computational tasks, verifying numerical answers, and providing detailed feedback on model-generated solutions. A solid background in mathematics at the graduate or PhD level is essential, along with the ability to break down abstract ideas for non-experts. The engagement is a freelance contract that requires 20 to 40 hours per week, with a 4-hour overlap with Pacific Time.
What You'll Do6
- 1Create new, difficult math problems designed to push language models beyond simple pattern matching, with an emphasis on multi-step, abstract, and proof-based reasoning.
- 2Solve these problems yourself and produce step-by-step written solutions that include clear logical justifications for every major move.
- 3Evaluate solutions generated by AI models, spot mathematical mistakes or omitted arguments, and deliver precise feedback, annotations, and corrections.
- 4Help build fresh evaluation benchmarks grounded in mathematics curricula, spanning early undergraduate through PhD-level material.
- 5Write and test Python programs for computational math tasks, using only approved scientific libraries and verifying the numeric outputs.
- 6Translate math problems and proofs into Lean's formal language, then check that the formal proofs compile without errors.
Requirements7
- 1A master's degree, PhD, or postdoctoral standing in mathematics, applied mathematics, statistics, or a related field.
- 2Strong research and analytical skills with a track record of solving complex mathematical problems in a structured, logical way.
- 3Ability to give constructive feedback and write detailed annotations that help AI models improve their reasoning.
- 4Creative and lateral thinking to design novel problems that challenge current language model capabilities.
- 5Excellent written communication and the ability to explain abstract math in simple terms, with visuals and examples.
- 6Comfort working solo in a remote setting, staying motivated without direct supervision.
- 7A reliable desktop or laptop and a stable, high-speed internet connection.
Who Should Apply
The ideal candidate holds a graduate degree in mathematics or a related field and enjoys designing problems that test the limits of AI reasoning. This role suits someone who can work on their own, write clean Python code, and translate proofs into Lean without constant supervision. Candidates who prefer a traditional 9-to-5 team setting or lack formal training in advanced math will often find this a poor fit. Applications often get rejected when candidates underestimate the need for precise written explanations or cannot guarantee the required 4-hour daily overlap with Pacific Time. Submit examples of your math problem-solving and proof-writing work to stand out.
Location
Required Skills
Application Tip
When you apply, attach a sample proof-based problem you created, with a step-by-step solution, and state your weekly availability (20, 30, or 40 hours) plus your Pacific Time overlap. Doing so demonstrates two of the most heavily weighted skills: clear math communication and scheduling fit.
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