The work
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.
What it pays and takes
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.
- Pay: $60 to $120 per hour equivalent, paid per task that meets the project specifications.
- Time: Less than 20 hours per week, with flexible scheduling.
- Location: Open to candidates in the listed countries across North America, South America, Europe, Africa, Asia, and the Middle East.
- 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.
- Helpful background: Command-line mathematical tools, optimization libraries, numerical methods, scientific computing, or reproducible computational research.
How it works
You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.
About AI training work
AI training is the human work behind artificial intelligence. People create and review examples, solve problems, and evaluate model outputs so AI systems can learn to produce more reliable results. Specialized contributors are valued for the subject knowledge and careful judgment they bring to this process.