Mathematics & Python Expert - Freelance AI Trainer

Overview

• While each project involves unique tasks, contributors may:
• Design original computational mathematics 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 reasonable timeframes (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.
• This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects.
• Ideally, contributors will have:
• Degree in Mathematics (Pure or Applied) or related fields;
• Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
• 2+ years of professional experience: applied, research, or teaching experience is applicable;
• Experience with numerical methods and symbolic computation;
• Ability to design problems that mirror real mathematical research workflows;
• Familiarity with computational complexity theory;
• Strong written English (C1+).
• 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.
• On this project, contributors can earn up to
• $35 per hour equivalent
• , depending on their level and pace of contribution.

Compensation