Statistics & Python Expert - Freelance AI Trainer

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

• Degree in Statistics or related fields
• Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or Stata is considered equivalent
• Minimum 2 years of professional experience in applied, research, or teaching roles
• Strong written English skills (C1+)
• Professional certifications such as CMME, SAS Certifications, CAP are advantageous
• Experience in international or applied projects is a plus

• Design original computational statistics problems simulating real mathematical research workflows
• Create problems requiring Python programming using libraries such as Numpy, SciPy, and Sympy
• Ensure problems are computationally intensive and not solvable manually within reasonable timeframes
• Develop problems involving non-trivial reasoning chains in number theory, combinatorics, graph theory, and numerical analysis
• Base problems on real research challenges or practical mathematical applications
• Verify solutions using Python with standard mathematical libraries
• Document problem statements clearly and provide verified correct answers

Please submit your CV in English and indicate your level of English proficiency. Participation is project-based, not permanent employment.