Statistician Python - Freelance AI Trainer. Austin LilyLifestyle

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.

• Design rigorous statistics problems reflecting professional practice.
• Evaluate AI solutions for correctness, assumptions, and constraints.
• Validate calculations or simulations using Python (Num Py, Pandas, Sci Py, Stats models, and Scikit‑learn).
• Improve AI reasoning to align with industry‑standard logic.
• Apply structured scoring criteria to multi‑step problems.

• Degree in Statistics or related fields (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) and experience in international or applied projects are an advantage.

Estimated 10–20hours 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.

• Paid contributions, with rates up to $73/hour.
• Fixed project rate or individual rates, depending on the project.
• Some projects include incentive payments.
• 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.