Statistics & Python Expert - Freelance AI Trainer
Remote · New York City, New York, United States
Job Summary
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 days/weeks; develop problems requiring non-trivial reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis; verify solutions using Python with standard mathematical libraries; document problem statements clearly and provide verified correct answers. Ideal candidates have a degree in statistics (or related fields), Python proficiency (Numpy/Scipy/Pandas), 2+ years of applied/research/teaching experience, strong written English, and professional certifications (e.g., CMME, SAS, CAP) are advantageous. Time commitment approx 10–20 hours per week during active phases; compensation up to $73 per hour equivalent; remote options available; location currently listed as New York, NY, US with remote possibility.
Required Qualifications
- Degree in Statistics or related fields
- Python proficiency for numerical validation
- 2+ years of professional experience
- Strong written English (C1+)
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