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.

Requirements

• A degree in mechanical or aerospace engineering, or a related field such as energy or oil and gas. A PhD is preferred but not required.
• Several years of hands-on industry or research experience in CFD using OpenFOAM, ANSYS Fluent/CFX, or STAR-CCM+, including meshing.
• Solid verification and validation practice, including mesh-independence studies and validation against experiments or benchmarks.
• Comfort with Python and GitHub.
• English proficiency at B2 level or above.
• Nice to have: aerospace, automotive, offshore, or turbomachinery background; experience with multiphase or particle-laden flows.

Project time expectations

During active phases, tasks are estimated to require around 10–20 hours per week, 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 $19 per hour equivalent on this project, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. 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 remotely on your own schedule with just a laptop and a 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.