Mathematics Expert (MSc./PhD)

You will create, solve, review, and validate advanced mathematical and computational tasks used to train AI systems. The work combines mathematical reasoning with reproducible programming workflows.

You will use Python and command-line-accessible tools to implement equations and algorithms, run experiments, and check whether results are mathematically and numerically correct.

• Solve and validate advanced mathematical and computational problems.
• Turn mathematical requirements into precise, executable procedures.
• Build workflows for calculations, numerical experiments, parameter sweeps, visualizations, and result validation.
• Test special cases and confirm that computational results are reproducible and correct.

This is a fully remote, part-time contractor role with flexible scheduling. Candidates must be fluent in English and located in one of the countries listed for this role.

• Time: Less than 20 hours per week, with flexible scheduling.
• Education: An MS or PhD in Mathematics, Applied Mathematics, Statistics, Operations Research, Computational Science, Theoretical Computer Science, or a closely related quantitative field.
• Alternative education: A BS in Mathematics or a closely related quantitative field plus 1 to 2 years of mathematics-focused professional or research experience.
• Expertise: Strong knowledge in at least one area such as applied mathematics, numerical analysis, optimization, probability, statistics, discrete mathematics, algebra, geometry, mathematical modeling, or dynamical systems.
• Technical skills: Practical Python experience for mathematical computation, automation, experimentation, or validation.
• Useful tools: NumPy, SciPy, SymPy, SageMath, CVXPY, pandas, Matplotlib, Jupyter, Julia, GNU Octave, numerical solvers, or comparable scientific software.