Mathematics Expert (MSc./PhD)

About the role

We are looking for highly skilled Mathematics Experts to contribute to an AI training project involving advanced mathematical problem-solving, computational mathematics, numerical methods, and Python.

The work involves creating, solving, reviewing, and validating mathematical tasks that can be completed through programmatic, command-line-based workflows. A representative task may require translating a mathematical problem into a computational procedure, implementing the relevant equations or algorithms, calculating a reproducible result, testing special cases, and determining whether the final answer is mathematically and numerically valid.

Scope of Work

• Solve and validate advanced mathematical and computational problems.
• Translate mathematical requirements into precise, executable workflows.
• Implement mathematical workflows using Python and command-line-accessible tools.
• Use Python to automate calculations, numerical experiments, parameter sweeps, visualization, and result validation.

What you’ll bring

• An MS or PhD in Mathematics, Applied Mathematics, Statistics, Operations Research, Computational Science, Theoretical Computer Science, or a closely related quantitative field; OR a BS in Mathematics or a closely related quantitative field plus at least 1–2 years of mathematics-focused professional or research experience in top companies/institutions.
• Strong expertise in at least one mathematical area, such as applied mathematics, numerical analysis, optimization, probability, statistics, discrete mathematics, algebra, geometry, mathematical modeling, or dynamical systems.
• Relevant tools may include Python, SymPy, SageMath, SciPy, CVXPY, NumPy, GNU Octave, Julia, or similar programmatic mathematical software. Experience with an equivalent CLI-accessible tool is acceptable.
• Relevant Python tools may include NumPy, SciPy, SymPy, pandas, Matplotlib, Jupyter, CVXPY, statsmodels, NetworkX, numerical solvers, optimization libraries, or domain-specific scientific packages. No single library is mandatory.

Benefits

Not provided in the source listing.

Schedule and availability

Approximately 15 hours per week. Flexible—you can choose the hours and days you work, including weekends if desired as long as you're active.

Contract & Payment Terms

• Selection process: Apply to the role and complete the screening questions. Complete an AI interview of approximately 30 minutes. Complete the hiring manager review.
• Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.
• Minimum submission requirements apply.
• We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

Where you can work

The listing states worldwide eligibility. Confirm work authorization with the employer.

Remote does not always mean work from any country. Always check the employer’s location and working-hour requirements.