CFD Simulation & Meshing Expert – AI Training & Evaluation
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About the role
We are seeking an experienced Computational Fluid Dynamics (CFD) and meshing expert to develop high-quality post-training tasks and evaluations that improve AI model capabilities in engineering simulation and mesh generation.
What You'll Do
- Design realistic CFD simulation and meshing tasks using OpenFOAM, Netgen, Gmsh, and snappyHexMesh.
- Create reference solutions, validation criteria, and automated evaluations to assess AI-generated outputs.
- Develop tasks covering mesh generation, refinement, boundary conditions, solver configuration, simulation execution, and result interpretation.
- Identify common failure modes and develop progressively challenging tasks to improve AI model performance.
Requirements
- Hands-on experience with OpenFOAM and CFD simulation workflows.
- Practical expertise with mesh generation tools such as Netgen, Gmsh, and snappyHexMesh.
- Strong understanding of mesh quality, numerical methods, convergence, and simulation validation.
- Python or scripting experience for automating simulation workflows and evaluating results.
- Ability to design technically rigorous, reproducible engineering tasks.
Where you can work
This role is 100% remote, for applicants located in Austria.
From Braintrust's job posting, checked 28 Oct 2026.
About Braintrust
Keep all of your pay: published per-role bands, no talent fees.
How it pays: Weekly; talent keeps 100% (no talent-side fee). Braintrust itself pays only to bank accounts in the 35 countries on its payments list (read 22 Oct 2026); with an account elsewhere you see only the roles whose client pays you directly.
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