This freelance AI trainer opportunity involves designing computational material science problems to challenge frontier AI models using Python and specialized tools. The role requires expertise in material science and Python programming, with a strong willingness to learn and adapt to new tools and concepts. The work involves creating reference solutions, testing problems against AI models, and calibrating task difficulty to achieve a specific pass rate. This is a part-time, non-permanent project with an estimated 10-20 hours of work per week.

Requirements

  • Degree in Material Science or related field
  • 2+ years of research, applied, or teaching experience
  • Python proficiency for writing reference solutions
  • Fluency with — or strong willingness to independently learn — at least one scriptable package: ObsPy, instaseis, pyrocko, MITgcm, xmitgcm, flopy/MODFLOW, or GeoPandas
  • Ability to design problems that genuinely require a specialized solver
  • Strong written English (C1+)

Benefits

  • Up to $35 per hour equivalent
  • Flexible, part-time work schedule