Mechanical CFD Engineer - AI Trainer

Description About the role - 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. 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 - 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 $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. 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.