Freelance Mechanical CFD Engineer – AI Trainer (Remote)

Maroc

Temps partielTélétravail3–5 ansIngénieur / École d'ingénieursAnglaisInformatique / IngénierieInformatique / IT

L’essentiel du poste

Résumé par Postule AI

Freelance remote role to help train and evaluate AI agents on expert-level CFD and fluid simulation tasks. The work includes taking CAD geometry, running simulations, building verified reference solutions, and writing Python checks. It requires an engineering degree in mechanical, aerospace or a related field, hands-on CFD experience with industry tools, verification and validation practice, Python and GitHub skills, and English at B2 level or above. The estimated workload is 10–20 hours per week during active phases, with pay of up to $9 per hour equivalent.

Vos missions

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

Profil recherché

  • You have hands-on CFD experience with OpenFOAM, Fluent, CFX or STAR-CCM+
  • You are comfortable with Python and GitHub and can write checks for simulation results
  • You have solid verification and validation practice, such as mesh-independence studies
  • You are comfortable working in English at B2 level or above
  • You want remote freelance work on your own schedule with an estimated 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 & 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

Tasks are estimated at 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

Contributors can earn up to $9 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise.

Why this freelance opportunity might be a great fit

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