Remote CFD Engineer for AI-Driven Fluid Simulation

AI Trainer Jobs

United States

Remote

USD 6,900 - 12,000

Part time

2 days ago
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Job summary

AI Trainer Jobs seeks contributors to 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.

This fully remote freelance role offers flexible hours (roughly 10–20 hours per week during active phases) and the potential to participate in performance bonuses across projects.

Qualifications

  • A degree in Mechanical or Aerospace Engineering, or a related field; PhD 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.

Responsibilities

  • Train and evaluate AI agents on expert-level fluid simulation tasks.
  • Take CAD geometry, set up and run simulations, build verified reference solutions, and write Python checks for the agent's results.
  • Work fully remote on your own schedule with just a laptop and stable internet connection.

Skills

Python
GitHub
English (B2+)
CFD

Education

Mechanical or Aerospace Engineering degree
PhD preferred

Tools

OpenFOAM
ANSYS Fluent/CFX
STAR-CCM+
Meshing

Job description

AI Trainer Jobs seeks contributors to 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.

This fully remote freelance role offers flexible hours (roughly 10–20 hours per week during active phases) and the potential to participate in performance bonuses across projects.

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