🌎Mathematics Expert (MSc./PhD), Remote- Contract
About The Position
Mathematics Experts contribute to an AI training project involving advanced mathematical problem-solving, computational mathematics, numerical methods, and Python. The work includes creating, solving, reviewing, and validating mathematical tasks that can be completed through programmatic, command-line-based workflows. Tasks may involve translating mathematical problems into computational procedures, implementing equations or algorithms, calculating reproducible results, testing special cases, and assessing whether results are mathematically and numerically valid. Experts use Python and command-line-accessible tools to automate calculations, conduct numerical experiments and parameter sweeps, create visualizations, and validate results. Compensation is output-based: experts are paid per task that meets project specifications, and minimum submission requirements apply. Task completion time can vary according to the expert’s experience and workflow. Selected candidates are expected to start their first task within 24–48 hours of completing onboarding.
Requirements
- An MS or PhD in Mathematics, Applied Mathematics, Statistics, Operations Research, Computational Science, Theoretical Computer Science, or a closely related quantitative field; alternatively, 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 or 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.
- Mathematics skills.
- Python skills.
- Programming language skills.
- Research skills.
- Applied mathematics skills.
- Experience with relevant programmatic mathematical software or an equivalent command-line-accessible tool.
Nice To Haves
- Experience with tools such as Python, SymPy, SageMath, SciPy, CVXPY, NumPy, GNU Octave, Julia, or similar programmatic mathematical software.
- Experience with Python tools such as NumPy, SciPy, SymPy, pandas, Matplotlib, Jupyter, CVXPY, statsmodels, NetworkX, numerical solvers, optimization libraries, or domain-specific scientific packages.
Responsibilities
- 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.
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What This Job Offers
Job Type
Part-time
