Computational Structural Engineering AI Benchmark Designer
About the role
OpenTrain AI is recruiting a Computational Structural and Mechanical Engineering Expert to design original graduate-level benchmark problems that test advanced AI models on real scientific-software workflows (e.g. FEniCSx, CalculiX, Elmer FEM), then write the Python oracle functions and solution validators used to score model attempts. The posting is tagged 'entry level' on OpenTrain's site but its own requirements call for MS/PhD-level or equivalent research experience. Worldwide-remote contractor engagement on OpenTrain's Philippines-eligible jobs page.
What you'll do
- Create original graduate-level structural and mechanical engineering problems
- Design tasks involving complex, multi-step computational workflows
- Develop problems with exact answers from fully defined setups
- Design query or experiment planning tasks that use partial results strategically
- Write problem setups, oracle functions, and solution validators in Python
- Test benchmarks against advanced AI models and iterate on difficulty using evaluation feedback
Requirements
- Graduate-level expertise in computational structural or mechanical engineering
- MS, PhD, or equivalent research experience in a relevant STEM field
- Hands-on proficiency with at least one listed open-source computational tool (e.g. FEniCSx/DOLFINx, scikit-fem, deal.II, MFEM, MOOSE, CalculiX, Elmer FEM, Code_Aster, SfePy)
- Strong Python skills for problem setups, oracle functions, and solution validators
- Ability to design challenging evaluation problems that test AI model reasoning
- Experience with Linux, terminal tools, and remote compute sandboxes
About OpenTrain AI
OpenTrain is a talent marketplace and the hiring/contracting organization for AI training and data-labeling work, connecting freelance contractors with RLHF, evaluation, red-teaming, and annotation projects for AI companies; OpenTrain states it works with 340,000+ freelancers.
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