Freelance AI Trainer (Mathematics & Python, Remote)

Job summary

This role involves contributing to project-based AI opportunities by designing and validating computational mathematics problems that reflect real-world research workflows. Contributors will engage in tasks that require both mathematical expertise and Python programming skills.

Qualifications

• Degree in Mathematics (Pure or Applied) or related fields.
• Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is acceptable.
• Minimum of 2 years of professional experience in applied mathematics, research, or teaching.
• Experience with numerical methods and symbolic computation.
• Ability to create complex mathematical problems that reflect real research challenges.
• Knowledge of computational complexity theory.
• Strong written English skills (C1+).

Responsibilities

Project time expectations

Tasks are estimated to require approximately 10–20 hours per week during active project phases, based on specific project requirements.

Compensation

Contributors can earn up to $45 per hour, depending on their level of expertise and contribution pace. Compensation may vary across different projects based on their scope and complexity.

• Design original computational mathematics problems that simulate real mathematical research workflows.
• Create Python-based problems that require computational solutions using libraries like Numpy and SciPy.
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes.
• Develop problems that necessitate non-trivial reasoning in areas such as number theory, combinatorics, graph theory, and numerical analysis.
• Document problem statements clearly and provide verified correct answers.