CFD Engineer – AI Trainer

This is a fully remote position, open to applicants in Arizona, +5 more states.

📋 Description

• Conduct training and assessment of AI agents on advanced fluid simulation tasks.

• Utilize CAD geometry to establish and execute simulations.

• Develop verified reference solutions.

• Create Python scripts to validate AI agent outcomes.

⛳️ Requirements

• A degree in Mechanical or Aerospace Engineering, or a related discipline such as energy or oil & gas; a PhD is preferred but not mandatory.

• Several years of practical industry or research experience in CFD using OpenFOAM, ANSYS Fluent/CFX, or STAR-CCM+, including expertise in meshing.

• Strong background in verification and validation practices: experience with mesh-independence studies and validation against experimental data or benchmarks.

• Proficient in Python and familiar with GitHub.

• Proficiency in English at B2 level or higher.

• Desirable: background in aerospace, automotive, offshore, or turbomachinery; experience in multiphase or particle-laden flow.

• Estimated workload of approximately 10–20 hours per week during active phases; consistent workload is not guaranteed.

🏝️ Benefits

• Enjoy the flexibility of working fully remotely on your own schedule with just a laptop and a reliable internet connection.

• Leverage your expertise on real-world technology projects while gaining experience in creating high-quality solutions for a global platform.

• Engage in performance-based bonus programs that recognize and reward high-quality work and consistent delivery.