CFD Engineer – AI Trainer (Fluid Simulation, Remote)

Maroc

23 $ par heureTemps partielTélétravail3–5 ansIngénieur / École d'ingénieursAnglaisInformatique / IngénierieInformatique / IT

L’essentiel du poste

Résumé par Postule AI

Freelance, fully remote, part-time project to help train and evaluate AI agents on expert-level fluid simulation (CFD) tasks. Requires an engineering degree in mechanical, aerospace or a related field, several years of hands-on CFD experience with OpenFOAM, ANSYS Fluent/CFX or STAR-CCM+, and comfort with Python and GitHub. Estimated at 10–20 hours per week during active phases, with compensation of up to $23 per hour equivalent.

Vos missions

  • Take CAD geometry and set up and run fluid simulations.
  • Build verified reference solutions for the AI agent's simulation tasks.
  • Write Python checks for the agent's simulation results.
  • Help train and evaluate AI agents on expert-level fluid simulation tasks.

Profil recherché

  • You have hands-on CFD experience with OpenFOAM, Fluent/CFX or STAR-CCM+, including meshing.
  • You are experienced in verification and validation, such as mesh-independence studies.
  • You are comfortable with Python and GitHub and can write checks for simulation results.
  • You want flexible, fully remote freelance work of roughly 10–20 hours per week.

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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 and 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

For this project, tasks are estimated to require 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

On this project, contributors can earn up to $23 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

  • Work fully remote on your own schedule with just a laptop and stable internet connection.
  • Apply your expertise to real-world technology projects while gaining experience building 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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