Mechanical Engineering AI Trainer

About the role

We are partnering with leading AI research labs to create smarter, technically rigorous AI systems. As a Mechanical Engineering AI Trainer you will apply your engineering expertise to design challenging problems, audit AI reasoning, and guide models toward accurate physical understanding.

Key responsibilities

• Design advanced engineering problems across domains such as FEA, heat transfer, kinematics, and material science to stress‑test AI performance.
• Author detailed, step‑by‑step benchmark solutions that serve as ground‑truth for model training and evaluation.
• Audit AI‑generated outputs—including CAD logic, thermodynamic proofs, and material specifications—for accuracy, safety, and compliance with standards (e.g., ASME, ISO).
• Identify flaws in AI reasoning (e.g., incorrect force distributions, energy‑conservation errors) and provide structured feedback to improve model thinking.

Required profile

• Master’s (or PhD) in Mechanical Engineering, Aerospace Engineering, or a closely related field.
• Deep knowledge of solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes.
• Excellent written communication skills for precise technical explanations.
• Detail‑oriented with high precision in mathematical derivations and unit analysis.
• No prior AI experience required.

Required skills

• Proficiency with engineering software such as SolidWorks, MATLAB, or ANSYS.

What we offer

• Fully remote, flexible schedule (10–40 hours per week) on an hourly contract.
• Opportunity to influence how AI understands the physical world.
• Freelance autonomy with potential for contract extensions and future projects.