Company
STEM
MathematicsAITrainingExpert
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Mathematics AI Training Expert. Skills: Mathematics, AI Training Data Design, Problem Design, Solution Verification. Design advanced mathematical problems for frontier AI training and evaluation. Create deterministic problems with exactly one correct answer”
What You'll Achieve.
improve model reasoning in technical domains; Each problem must have exactly one verifiable correct answer; Ensure all outputs are technically precise, reproducible, and well-written
Industry & Context.
mathematical reasoning
What They're Looking For.
Must Have
Master’s or PhD in Mathematics or a closely related field, research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics, Python 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
Nice 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
What You'll Do.
Design advanced mathematical problems for frontier AI training and evaluation
Create deterministic problems with exactly one correct answer
verified solutions and clearly document the reasoning process
Develop problems that test deep mathematical reasoning
not just memorization
use Python or specialized tools to build computational workflows
Ensure all outputs are technically precise
and well-written in English
How You'll Work.
Communication Scope
technical writing skills in English
Full Job Description
Help shape the future 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. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - 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 WHAT WE’RE LOOKING FOR - 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 NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympi
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