About the role
Help train and evaluate AI agents on expert-level fluid simulation tasks. You will take CAD geometry, set up and run simulations, build verified reference solutions, and write Python checks for the agent's results.
Requirements
- A degree in Mechanical or Aerospace Engineering, or a related field such as energy or oil & gas. A PhD is preferred but not required.
- Several years of hands-on industry or research CFD with OpenFOAM, ANSYS Fluent/CFX or STAR-CCM+, including meshing.
- Solid verification and validation practice: mesh-independence studies, and validation against experiment or benchmarks.
- Comfortable with Python and GitHub.
- English at B2 level or above.
Nice to have: aerospace, automotive, offshore or turbomachinery background; multiphase or particle-laden flow experience.
Project time expectations
Tasks are estimated at around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
Contributors can earn up to $9 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise.
Why this freelance opportunity might be a great fit
- Work fully remote on your own schedule with a laptop and stable internet connection.
- Apply your expertise to real-world technology projects and build high-quality solutions for a global platform.
- Participate in performance-based bonus programs that reward high-quality work and consistent delivery.
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