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About the Role
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
Responsibilities
- Design original computational mathematics problems that simulate real mathematical research workflows.
- Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy).
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes.
- Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis.
- Base problems on real research challenges or practical applications from mathematical practice.
- Verify solutions using Python with standard mathematical libraries.
- Document problem statements clearly and provide verified correct answers.
Requirements
- Mathematicians with experience in Python open to part-time, non-permanent projects.
- Ability to design problems that mirror real mathematical research workflows.
- Familiarity with computational complexity theory.
- Strong written English (C1+).
Skills
- Python
- Numpy
- SciPy
- Sympy
- MATLAB
- R
- C
- SQL
- Pandas
- Stata
- Numerical methods
- Symbolic computation
Location
- Remote
Work Type
- Part-time
- Project-based
- Non-permanent
Experience Level
- 2+ years of professional experience (applied, research, or teaching)
Education Level
- Degree in Mathematics (Pure or Applied) or related fields
Salary/Compensations
- Up to $45 per hour equivalent
About the Company
- Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.