Freelance Material Scientist (Python) – AI Trainer

About the role

This freelance position involves creating and validating material‑engineering problems for AI training projects. You will work remotely on a project‑by‑project basis, helping leading tech companies improve their AI systems.

Key responsibilities

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

Required profile

• Degree in Material Science or a closely related field.
• At least 2 years of professional, research, or teaching experience in material engineering.
• Strong written English proficiency (C1 level or higher).
• Understanding of practical engineering constraints and approximations.

Required skills

• Python programming.
• Numerical libraries: NumPy, Pandas, SciPy.
• Familiarity with MATLAB, R, C, SQL, or domain‑specific engineering libraries.

What we offer

• Project‑based work with an estimated 10‑20 hours per week during active phases.
• Compensation up to $35 per hour, depending on contribution level.
• Fully remote arrangement and flexible scheduling.