Civil Engineer with Python Proficiency - AI Trainer

Key Responsibilities

• Identify an appropriate civil engineering simulation package and build problems whose solution genuinely hinges on that tool's core capabilities.
• Develop full Python solutions for each problem, providing all necessary input files, geometry definitions, and boundary conditions.
• Establish correct numerical output and define tolerance values appropriate to the engineering context.
• Run the problem against the AI model across multiple parallel attempts, analyzing success and adjusting difficulty until pass rate falls between 10% and 30%.
• Tune load cases, boundary conditions, and solver parameters iteratively to understand model navigation of complex structural and geotechnical problems.
• Hand off completed tasks to a senior reviewer and refine based on feedback before final submission.

Core Requirements

• Academic background in Civil Engineering or closely related field.
• At least 2 years of hands-on experience in engineering research, applied work, or teaching.
• Solid Python skills for writing and validating computational solutions.
• Ability to build problems requiring specialized simulation software.
• Excellent written and verbal communication skills in English.
• Ability to work independently in a remote, fast-paced environment.

Nice-to-Have

• Working knowledge of domain-specific tools (e.g., OpenSeesPy, CalculiX, YADE, bempp-cl) or ability to get up to speed independently.
• Prior exposure to how frontier AI models handle complex simulation tasks.
• Knowledge spanning more than one engineering domain (e.g., structural analysis, geotechnical modeling, boundary element methods).
• Familiarity with containerized or sandboxed Linux execution environments.