Mindrift is seeking a freelance Statistics & Python Expert to design and validate computational math problems for AI training. This project-based role offers flexible hours and involves creating complex problems using Python and mathematical libraries.
What You'll Do
- Design original computational statistics 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 (days/weeks)
- 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
What We're Looking For
- Degree in Statistics or related fields
- Python proficiency for numerical validation
- Strong written English (C1+)
Nice to Have
- MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent
- 2+ years of professional experience: applied, research, or teaching experience is applicable
- Professional certifications (e.g., CMME, SAS Certifications, CAP)
- Experience in international or applied projects
Technical Stack
- Python
- Numpy
- SciPy
- Sympy
- MATLAB
- R
- C
- SQL
- Pandas
- Stata
Benefits & Compensation
- Project-based work with flexible time commitment
- Opportunity to work on AI projects with leading tech companies
- Exposure to testing, evaluating, and improving AI systems
Compensation varies across projects depending on scope, complexity, and required expertise. The hourly equivalent is $50 per hour.
Work Mode
Tasks estimated at 10–20 hours per week during active phases; not a guaranteed workload. This is a global, flexible role.