About the job
Please submit your CV in English and indicate your English proficiency level.
Mindrift connects skilled specialists with project-based AI initiatives for leading tech companies. The focus is on testing, evaluating, and improving AI systems. This is a project-based freelance role, not a permanent position.
What you will do
- Create original computational mathematics problems that reflect real mathematical research methods.
- Develop problems that require Python programming to solve, using libraries such as Numpy, SciPy, and Sympy.
- Ensure problems are computationally intensive and cannot be solved manually within days or weeks.
- Design challenges involving advanced reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis.
- Base problems on genuine research questions or practical mathematical applications.
- Validate solutions in Python with established mathematical libraries.
- Document each problem clearly, providing both the statement and a verified solution.
Requirements
- Degree in Mathematics (Pure or Applied) or a closely related field.
- Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or Stata, or knowledge of another programming language is also acceptable.
- At least 2 years of professional experience, which may include research, teaching, or applied work.
- Familiarity with numerical methods and symbolic computation.
- Ability to design problems that mirror authentic mathematical research workflows.
- Understanding of computational complexity theory.
- Strong written English skills at C1 level or higher.
Application process
The process includes: Apply → Complete qualifications → Join a project → Execute tasks → Receive payment.
Project commitment
During active phases, tasks are expected to require approximately 10–20 hours per week. This estimate depends on project needs and is not a guaranteed workload.
Compensation
Contributors may earn up to $35 per hour, depending on expertise and pace. Actual compensation varies by project scope, complexity, and required skills. Other projects on the platform may offer different earning potential based on their requirements.

