Civil Engineer Python Proficiency - AI Trainer

We're building a talent pool of Civil Engineering professionals with Python proficiency to contribute to project-based AI development initiatives, focused on evaluating and enhancing frontier AI models. Designed for civil engineering professionals who enjoy deep technical problem-solving, this pipeline role is for those looking to apply their simulation expertise to evaluate and push the boundaries of frontier AI models, relying on domain-specific simulation tools, such as Open Sees Py , CalculiX, YADE, or bempp-cl, with verifiable, code‑graded answers run inside isolated Linux environments.

• Identify an appropriate civil engineering simulation package and build problems whose solution genuinely hinges on that tool's core capabilities, whether solvers, simulation kernels, or domain‑specific models
• Develop full Python solutions for each problem, providing all necessary input files, geometry definitions, and boundary conditions as required
• Establish the correct numerical output and define how close the AI model needs to get, using tolerance values appropriate to the engineering context
• Run the problem against the AI model across multiple parallel attempts, analyzing where it succeeds or falls short, and adjusting difficulty until the pass rate falls between 10% and 30%
• Tune load cases, boundary conditions, and solver parameters iteratively, building an understanding of how the model navigates complex structural and geotechnical problems
• Hand off completed tasks to a senior reviewer in your subfield and refine based on their feedback before final submission

• Academic background in Civil Engineering or a closely related field
• At least 2 years of hands‑on experience in engineering research, applied work, or teaching
• Solid Python skills, applied to writing and validating computational solutions
• Capacity to build problems that cannot be solved without specialized simulation software
• Excellent written and verbal communication skills in English
• Ability to work independently in a remote, fast‑paced environment

• Working knowledge of one or more domain‑specific civil engineering tools, including but not limited to Open Sees Py , CalculiX, YADE, or bempp-cl, or a demonstrated ability to get up to speed independently
• Prior exposure to how frontier AI models approach complex simulation tasks
• Knowledge spanning more than one engineering domain, such as structural analysis, geotechnical modeling, or boundary element methods
• Familiarity with containerized or sandboxed Linux execution environments

Please note:

Due to the high volume of applications, only shortlisted candidates will be contacted.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.