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 engage in tasks that simulate real mathematical research workflows and require advanced reasoning in various mathematical domains.

Qualifications

• Degree in Statistics or a related field.
• Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages 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 project phases, based on specific project requirements.

Compensation

Contributors can earn up to $50 per hour, depending on their expertise and contribution pace. Compensation may vary across different projects based on scope and complexity.

• Design original computational statistics problems that reflect real mathematical research workflows.
• Create Python programming problems that are computationally intensive and require significant reasoning.
• Develop problems based on real research challenges or practical applications in mathematics.
• Verify solutions using Python and standard mathematical libraries.
• Document problem statements and provide verified correct answers clearly.