Mechanical Engineering Expert - AI Content Specialist

About The Role

We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers to help make it happen. As a Mechanical Engineering Expert, your deep knowledge of fluid dynamics, thermodynamics, structural mechanics, and more will directly shape how next-generation AI reasons through complex engineering problems. This is a rare opportunity to work at the intersection of engineering and artificial intelligence — without leaving your home.

Type

Hourly Contract

Location

Remote

Commitment

10–40 hours/week

What You'll Do

• Design Complex Engineering Problems — Craft advanced, multi-domain problems spanning FEA, heat transfer, kinematics, fluid dynamics, and material science to rigorously stress-test AI performance
• Author Ground-Truth Solutions — Develop detailed, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
• Audit AI Reasoning — Review AI-generated outputs including CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with standards such as ASME and ISO
• Refine AI Thinking — Identify flaws in AI reasoning — such as incorrect force distributions or energy conservation violations — and deliver structured feedback to improve model outputs

Who You Are

• Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
• Strong foundational knowledge in one or more of: solid mechanics, fluid mechanics, CAD/CAM, thermodynamics, or manufacturing processes
• Able to communicate complex physical phenomena and technical concepts clearly and concisely in writing
• Highly precise when working with mathematical derivations, unit conversions, and physical system constraints
• Self-motivated and comfortable working independently in an asynchronous environment
• No prior AI experience required

Nice to Have

• Experience with data annotation, technical writing, or evaluation systems
• Proficiency in engineering software such as SolidWorks, MATLAB, or ANSYS
• Familiarity with AI or language model evaluation workflows