Freelance Statistician with Python Experience - AI Trainer

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 rigorous statistics problems reflecting professional practice;


• Evaluate AI solutions for correctness, assumptions, and constraints;


• Validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn);


• Improve AI reasoning to align with industry-standard logic;


• Apply structured scoring criteria to multi-step problems

What We Look For

This opportunity is a good fit for statisticians with an experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:

• Degree in Statistics or related fields, e.g. Probability Theory, Mathematical Statistics, Applied Statistics, etc.


• 3+ years of professional mathematics experience


• Strong written English (C1/C2)


• Strong Python proficiency for numerical validation


• Stable internet connection

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

How It Works

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Payment

• Paid contributions, with rates up to $38/hour*


• Fixed project rate or individual rates, depending on the project


• Some projects include incentive payments


• Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project