Mathematics Expert (France)

Anyone AI

Paris

Sur place

EUR 39 493 - 56 247

Temps partiel

Il y a 12 jours

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Résumé du poste

Anyone AI is seeking a skilled mathematician to design challenging problems for AI training and evaluation. Remote, part-time contract (20 hours/week) with immediate start.

You will craft deterministic problems with clear solutions and document the reasoning process in English, leveraging Python when needed. Ideal candidates hold a Master’s or PhD in Mathematics, with strong modeling, proof-based reasoning, and programming skills.

Qualifications

  • Master1s or PhD in Mathematics or closely related field.
  • Strong Python skills with libraries such as NumPy, SciPy, Pandas.
  • Ability to design original, difficult problems that mirror real mathematical workflows.
  • Excellent attention to detail and English technical writing skills.

Responsabilités

  • 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 outputs are technically precise, reproducible, and well-written in English.

Connaissances

Python programming
Mathematical modeling
Proof-based reasoning
Algorithm design
Technical writing
Attention to detail
English proficiency

Formation

Master1s degree in Mathematics
PhD in Mathematics

Outils

NumPy/SciPy/Pandas

Description du poste

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.

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 olympiad-level, graduate-level, or research-level problem design
  • Experience evaluating model reasoning, benchmarking, or technical assessment design
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