Freelance Mechanical CFD Engineer - AI Trainer
About The Position
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 agent results. This is a freelance opportunity. During active project phases, tasks are estimated to require around 10–20 hours per week; this is an estimate, not a guaranteed workload, and applies only while the project is active. Contributors can earn up to $69 per hour equivalent, depending on their level and pace of contribution. Compensation varies between projects according to scope, complexity, and required expertise. The work is fully remote and can be done on your own schedule with a laptop and stable internet connection. The opportunity also offers experience applying your expertise to real-world technology projects and participating in performance-based bonus programs that reward high-quality work and consistent delivery.
Requirements
- A degree in Mechanical Engineering, Aerospace Engineering, or a related field such as energy or oil and gas.
- Several years of hands-on industry or research CFD experience with OpenFOAM, ANSYS Fluent/CFX, or STAR-CCM+, including meshing.
- Solid verification and validation practice, including mesh-independence studies and validation against experiments or benchmarks.
- Comfort with Python and GitHub.
- English proficiency at B2 level or above.
Nice To Haves
- A PhD is preferred but not required.
- Background in aerospace, automotive, offshore, or turbomachinery.
- Experience with multiphase or particle-laden flow.
Responsibilities
- Train and evaluate AI agents on expert-level fluid simulation tasks.
- Take CAD geometry and set up and run simulations.
- Build verified reference solutions.
- Write Python checks for agent results.
Benefits
- Performance-based bonus programs rewarding high-quality work and consistent delivery.
