Freelance AI Trainer (Statistics & Python, Remote)

Job summary

This role involves contributing to project-based AI opportunities by designing computational statistics problems and creating Python programming challenges. Contributors will work on unique tasks that simulate real mathematical research workflows and require non-trivial reasoning.

Qualifications

• Degree in Statistics or a related field.
• 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, research, or teaching roles.
• Strong written English skills (C1+).
• Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.

Responsibilities

Project time expectations

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

Compensation

Contributors can earn up to $50 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 statistics problems that reflect real mathematical research workflows.
• Create Python programming problems that require computational solutions.
• Ensure problems are complex enough to necessitate computational solutions over manual ones.
• Develop problems that involve advanced reasoning in areas such as number theory, combinatorics, graph theory, and numerical analysis.
• Document problem statements clearly and provide verified correct answers.