Mechanical Engineering - AI Data Trainer
Remote
10-40 hours/week
Develop Complex Problems: Design advanced mechanical engineering problems across domains like FEA (Finite Element Analysis), heat transfer, kinematics, and material science to test AI performance.
Evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and adherence to engineering standards (e.g., Advanced Degree: Masters (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
Strong foundational knowledge in core areas such as solid mechanics, fluid mechanics, CAD/CAM, or manufacturing processes.
Prior experience with data annotation, data quality, or evaluation systems
Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI-generated code or workflows.
Competitive pay and flexible remote work.
Collaborate with a team working on cutting-edge AI projects.
Freelance perks: autonomy, flexibility, and global collaboration.
Project matching and onboarding