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.
Main Responsibilities
- Set up and execute CFD simulations using industry-standard tools
- Build and verify reference solutions for fluid dynamics problems
- Develop Python-based validation checks for AI agent outputs
- Conduct mesh-independence studies and validation against benchmarks
Requirements
- Degree in Mechanical or Aerospace Engineering, or related field (energy, oil & gas); PhD preferred
- Several years of hands-on CFD experience with OpenFOAM, ANSYS Fluent/CFX, or STAR-CCM+, including meshing
- Solid verification and validation practice with mesh studies and experimental validation
- Proficiency in Python and GitHub
- English at B2 level or above
Nice to Have
- Aerospace, automotive, offshore, or turbomachinery background
- Experience with multiphase or particle-laden flows
Project Details
Time Commitment: Estimated 10–20 hours per week during active phases (not guaranteed)
Compensation: Up to $9 per hour equivalent, based on expertise and contribution pace
Work Environment: Fully remote with flexible schedule; requires laptop and stable internet
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