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.