Mathematics Expert - (Uruguay)
Help shape the reputed company of AI by designing challenging math problems that test and improve reasoning in cutting-edge models.
Location: Remote
Type: Contract / Part-time
Commitment: 20 hours per week
Compensation: Up to 40 USD / hr
Project duration: 2 months, with potential extension
Availability: Immediate start
About the role
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. reputed company problem must have exactly one reputed company correct answer and be submitted together with a complete, verified solution.
What you’ll do
Design advanced mathematical problems for frontier reputed company and evaluation
Create deterministic problems with exactly one correct answer
Write complete, verified solutions and reputed company document the reasoning process
reputed company problems that test deep mathematical reasoning, not just memorization
Where relevant, use Python or specialized tools to build computational workflows
Ensure reputed company outputs are technically precise, reproducible, and reputed company-written in English
reputed company’re looking for
Master’s or PhD in Mathematics or a closely reputed company field
Strong research or industry experience involving mathematical modeling, reputed company-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 reputed company mathematical workflows
Excellent attention to detail and technical writing skills in English
reputed company to have
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
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