Fully Remote and Freelance Project- 8-10 hours per week expected as a minimum

Opportunity for experienced mechanical engineers to evaluate how frontier AI models handle real engineering work:

About the Role:

In this role, you will design challenging, realistic tasks drawn from your own practice, such as:

• A component sizing calculation with a worked solution,
• A tolerance stack up,
• A CAD assembly review with interference and clearance findings,
• A thermal or fluids analysis,
• A DFM and DFA review,
• A failure analysis report, or
• A test and validation plan

You will run them through frontier AI agents, and evaluate what comes back against a professional standard.

• You will work with realistic professional files, the kind a practitioner in your field actually handles, which you assemble yourself. Some tasks are compact, built around a handful of files; others are larger scenarios that take several days to build. In every case the goal is the same: a task a competent professional in your field would complete correctly and a frontier model currently gets wrong.

Experience Required:

• Professional mechanical engineering experience preferred. Any specialty: design and product development, manufacturing, thermal, structural, automotive, aerospace, HVAC, robotics, energy, medical devices.
• In progress Bachelor’s degree or higher in mechanical engineering or a related field. PE licensure is a plus but not required.
• Depth in at least one of: mechanical design and CAD (geometry, clearances, tolerances, mechanisms); structures and materials (stress, deflection, fatigue, buckling, material selection, failure analysis); thermal and fluids (heat transfer, thermodynamics, HVAC, pumps and piping); dynamics and controls (vibration, kinematics, rotating machinery); manufacturing (DFM and DFA, process selection, GD&T, tolerance stack ups, cost and quality trade offs).
• Fluency in the tools of your specialty: CAD (SolidWorks, Fusion 360, Onshape, Creo, NX, CATIA or Inventor), FEA or CFD, or MATLAB or Python for engineering analysis.
• Strong fundamentals across mechanics of materials, dynamics, thermodynamics, heat transfer, fluid mechanics and manufacturing processes.
• Meticulous: you check your own work and enjoy finding the edge case that breaks an assumption.

This is not a traditional mechanical engineering role. You will be helping build better AI byputting your knowledge to work in a structured, flexible, fully remote environment.

The work is long form and self directed, and clear written reasoning matters as much as technical depth

Process:

Assessment- 2-3 hours (unpaid)

For more information and how to sign up, please get in touch