About the job
This freelance, project-based role at Toloka AI (in partnership with Mindrift) focuses on developing and validating advanced mathematics problems for AI education. Work is remote from Manitoba, Canada, and all applications must include a resume in English along with your English proficiency level.
Role overview
Contributors design computational mathematics challenges that mirror real research workflows. Each project brings unique tasks, such as:
- Creating original mathematics problems that require significant computational effort (not solvable manually in a reasonable timeframe)
- Developing Python-based solutions using libraries like Numpy, SciPy, or Sympy
- Focusing on areas such as number theory, combinatorics, graph theory, and numerical analysis
- Basing problems on genuine research questions or real-world mathematical applications
- Validating solutions programmatically and documenting both problems and solutions clearly
Requirements
- Degree in Mathematics (Pure or Applied) or a related field
- Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar is also accepted
- At least 2 years of professional experience in applied mathematics, research, or teaching
- Background in numerical methods and symbolic computation
- Ability to design problems based on authentic mathematical research
- Understanding of computational complexity theory
- Excellent written English (C1 level or higher)
Project commitment
Projects typically require an estimated 10–20 hours per week during active phases. Actual workload may vary depending on project needs and is not guaranteed.
Compensation
Contributors can earn up to $35 per hour, depending on the project’s complexity, scope, and your contribution. Rates may differ for other projects on the platform.
Application process
- Apply with your resume and English proficiency
- Pass qualification steps
- Join a project
- Complete assigned tasks
- Receive payment
This is a non-permanent, part-time opportunity for mathematicians with Python expertise interested in project-based AI education work.

