Freelance Material Scientist (Python) – AI Trainer

About the role

This freelance opportunity lets material scientists design and test AI‑driven engineering problems. You will create Python‑based simulations and help improve AI systems used by leading tech companies.

Key responsibilities

• Design original material engineering problems that mimic real‑world workflows.
• Create Python programming tasks that require numerical methods, iterative solutions, and computational intensity.
• Develop problems involving system design, optimization, and analysis.
• Base tasks on actual research challenges or practical engineering applications.
• Verify solutions using Python with standard engineering libraries.
• Document problem statements clearly and provide verified correct answers.

Required profile

• Degree in Material Science or a related field.
• Proficiency in Python for numerical validation.
• 2+ years of professional experience (applied, research, or teaching).
• Understanding of practical engineering constraints and approximations.
• Strong written English (C1+ level).

Required skills

• Python
• Numpy
• Pandas
• SciPy
• MATLAB
• R
• C
• SQL
• Domain‑specific engineering libraries
• Stata

What we offer

• Project‑based work with flexible hours (estimated 10‑20 h/week during active phases).
• Compensation up to $17 per hour, depending on contribution level.
• Opportunity to collaborate with leading AI teams and enhance your portfolio.