Freelance Mechanical CFD Engineer - AI Trainer
Mindrift
•Remote
About The Position
Help train and evaluate AI agents on expert-level fluid simulation tasks. The role involves taking CAD geometry, setting up and running simulations, building verified reference solutions, and writing Python checks for agent results. This is a freelance opportunity conducted fully remotely on the contributor’s own schedule. During active project phases, work is estimated at around 10–20 hours per week; this is not a guaranteed workload. Contributors can earn up to $69 per hour equivalent, depending on their level and pace of contribution. Compensation varies by project scope, complexity, and required expertise.
Requirements
- A degree in Mechanical or Aerospace Engineering, or a related field such as energy or oil and gas.
- Several years of hands-on industry or research experience in CFD using 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
- Set up and run fluid simulations using CAD geometry.
- Build verified reference solutions.
- Write Python checks for AI agents’ simulation results.
- Help train and evaluate AI agents on expert-level fluid simulation tasks.
Benefits
- Fully remote work on your own schedule.
- Opportunity to apply expertise to real-world technology projects and gain experience building high-quality solutions for a global platform.
- Participation in performance-based bonus programs that reward high-quality work and consistent delivery.
