CFD Engineer – AI Trainer

Job Description:

• Train and evaluate AI agents on expert-level fluid simulation tasks
• Take CAD geometry and set up and run simulations
• Build verified reference solutions
• Write Python checks for AI agents’ 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 experience with OpenFOAM, ANSYS Fluent/CFX or STAR-CCM+, including meshing
• Solid verification and validation practice, including 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
• Nice to have: multiphase or particle-laden flow experience

Benefits:

• 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
• Performance-based bonus programs rewarding high-quality work and consistent delivery