Mathematics Expert (Portugal)

Anyone AI Inc.

Portugal

Remote

EUR 34,000 - 49,000

Part time

14 days+
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Benefits offered by this job

Remote work
Immediate start
2-month project with extension

Job summary

Anyone AI Inc. seeks mathematics experts to design challenging, deterministic problems for frontier AI models. You will craft problems with a single verifiable solution and provide complete, verified reasoning.

This remote, part-time contract role offers up to 40 USD per hour, about 20 hours per week, for an initial 2-month project with a possible extension. Immediate start preferred; strong English writing is essential.

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.

Responsibilities

  • 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

Skills

Python programming
Mathematical modeling
Proof-based reasoning
Technical writing
Attention to detail

Education

Master’s or PhD in Mathematics or closely related field

Tools

numpy
scipy
pandas

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 olympiad-level, graduate-level, or research-level problem design

  • Experience evaluating model reasoning, benchmarking, or technical assessment design

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