Statistics & Python Expert - Freelance AI Trainer

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 chains in areas like number theory, combinatorics, graph theory, and numerical analysis; base problems on real research challenges or practical applications from mathematical practice; verify solutions using Python with standard mathematical libraries; document problem statements clearly and provide verified correct answers. The opportunity is project-based, part-time, and non-permanent, with compensation up to $17 per hour equivalent and time commitments around 10–20 hours per week during active phases.