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

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

Mathematics AI Training Expert, Germany

Key skills