Statistics & Python Expert - Freelance AI Trainer

Mindrift

1d • $38

About The Position

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.
What this opportunity involves
While each project involves unique tasks, contributors may:
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 look for
This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:

Requirements

• Degree in Statistics or related fields
• Python proficiency for numerical validation. 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
• Strong written English (C1+)

Nice To Haves

• Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage

Responsibilities

• 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 This Job Offers

• Job Type: Part-time
• Education Level: No Education Listed