Mechanical Engineering Expert - AI Content Specialist

About the Role

We're looking for mechanical engineering experts to help train and improve cutting-edge AI models being developed with the world's leading AI research labs. Your deep technical knowledge will directly shape how AI understands and reasons through complex engineering problems — from fluid dynamics to finite element analysis.

What You'll Do

• Design Challenging Problems — Create advanced mechanical engineering problems across domains like FEA, heat transfer, thermodynamics, kinematics, and material science to rigorously test AI performance
• Author Gold-Standard Solutions — Write clear, 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 accuracy, safety, and adherence to engineering standards (ASME, ISO, etc.)
• Improve AI Thinking — Identify logical errors in AI reasoning — such as incorrect force distributions or energy conservation violations — and provide structured feedback to sharpen model performance

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, thermodynamics, CAD/CAM, or manufacturing processes
• Able to communicate complex technical concepts and physical phenomena clearly in writing
• Highly precise — you catch errors in mathematical derivations, unit conversions, and physical system constraints

Nice to Have

• Experience with data annotation, quality evaluation, or technical review workflows
• Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS
• Background in academic or professional technical writing

Why Join Us

• Work on genuinely cutting-edge AI projects alongside top research labs
• Fully remote and asynchronous — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Gain rare insight into how advanced large language models are built and trained
• Potential for ongoing work and contract extension