Freelance Mechanical CFD Engineer - AI Trainer

Help train and evaluate AI agents on expert-level fluid simulation tasks. You'll take CAD geometry, set up and run simulations, build verified reference solutions, and write Python checks for the agent's results.

• 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 Git Hub.
• English at B2 level or above.
• Nice to have: aerospace, automotive, offshore or turbo machinery background; multiphase or particle-laden flow experience.

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.

• On this project, contributors can earn up to $69 per hour equivalent , depending on their level and pace of contribution.
• Compensation varies across projects depending on scope, complexity, and required expertise.
• Please note that other projects on the platform may offer different earning levels based on their requirements.

• 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.