Statistician with Python Experience & AI Trainer
Please submit your CV in English and indicate your level of English proficiency. 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 $73/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
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