Mindrift

Freelance Mechanical CFD Engineer – AI Training Specialist

Maroc

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

L’essentiel du poste

Résumé par Postule AI

Freelance opportunity to train AI agents on expert-level CFD simulations. You'll handle CAD geometry setup, run simulations using tools like OpenFOAM or ANSYS, create verified reference solutions, and develop Python validation checks. Requires several years of hands-on CFD experience, strong verification/validation practices, and Python proficiency. Remote, flexible schedule with up to $9/hour compensation.

Vos missions

  • Set up and execute CFD simulations using OpenFOAM, ANSYS Fluent/CFX, or STAR-CCM+
  • Build verified reference solutions for fluid dynamics problems
  • Develop Python-based validation checks for AI agent outputs
  • Conduct mesh-independence studies and validation against benchmarks or experiments
  • Document and evaluate simulation results for AI training purposes

Profil recherché

  • You have 3+ years of professional CFD experience with industry-standard tools
  • You are comfortable with Python and want to apply it to AI training projects
  • You prefer remote, flexible work and can manage your own schedule
  • You have strong verification and validation expertise in fluid dynamics

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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.

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
  • Document and evaluate simulation results for AI training purposes

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-independence studies and experimental validation
  • Proficiency in 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 Details

Time Commitment: Estimated 10–20 hours per week during active phases (not guaranteed)

Compensation: Up to $9 per hour equivalent, depending on level and pace of contribution

Why This Opportunity

  • Work fully remote on your own schedule with just a laptop and stable internet
  • Apply expertise to real-world technology projects and build high-quality solutions
  • Access performance-based bonus programs rewarding quality work and consistent delivery

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