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
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