[Hiring] Mathematics AI Training Expert @Anyone AI

Role Description

Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models.

• We create high-quality STEM training data for frontier AI models.
• Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains.
• We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems.
• Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution.

• Design advanced mathematical problems for frontier AI training and evaluation.
• Create deterministic problems with exactly one correct answer.
• Write complete, verified solutions and clearly document the reasoning process.
• Develop problems that test deep mathematical reasoning, not just memorization.
• Where relevant, use Python or specialized tools to build computational workflows.
• Ensure all outputs are technically precise, reproducible, and well-written in English.

Qualifications

• Master’s or PhD in Mathematics or a closely related field.
• Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics.
• Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar.
• Solid grasp of algorithms, numerical methods, and computational approaches.
• Ability to design original, difficult problems that mirror real mathematical workflows.
• Excellent attention to detail and technical writing skills in English.

Requirements

• Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software.
• Background in olympiad-level, graduate-level, or research-level problem design.
• Experience evaluating model reasoning, benchmarking, or technical assessment design.

Benefits

• Remote work opportunity.
• Contract / Part-time position.
• Commitment of 20 hours per week.
• Compensation of up to 40 USD / hr.
• Project duration of 2 months, with potential extension.
• Immediate start availability.