Freelance Materials Engineer & Python AI Trainer

About the role

We are looking for a Materials Engineer with strong Python expertise to design and implement computational material‑science challenges for a cutting‑edge AI model. The work is project‑based, freelance, and focuses on creating problems that require specialized scientific tools and can be automatically graded inside a sealed Linux container.

Key responsibilities

• Select a domain‑specific tool (e.g., ObsPy, instaseis, pyrocko, MITgcm, flopy/MODFLOW, GeoPandas) and design a problem that truly depends on its core algorithms.
• Develop a reference Python solution, provide all necessary input files and model definitions.
• Define the numerical answer and acceptable tolerance, then test the problem against the AI model in parallel batches.
• Iteratively adjust problem difficulty to achieve a target pass rate of 10‑30%.
• Submit the finalized task for senior review and incorporate feedback.

Required profile

• Degree in Materials Science or a related discipline.
• At least 2 years of research, applied, or teaching experience in material science or engineering.
• Proficient English writing skills (C1 level or higher).
• Ability to learn and use advanced scientific Python packages independently.

Required skills

• Python programming.
• Experience or willingness to learn one or more of the following packages: ObsPy, instaseis, pyrocko, MITgcm, xmitgcm, flopy, MODFLOW, GeoPandas.