Mechanical Engineer - AI Lab Project (US Remote)

What You'll Do6

• Audit mechanical engineering prompts and model answers for wrong assumptions, missed constraints, unit slips, tolerance errors, unsafe choices, and polished text that would fail a design review.
• Write instruction specs that define correct engineering reasoning and produce worked reference solutions for problems across mechanical design, thermal and fluid systems, stress analysis, manufacturing, and controls.
• Build benchmark tasks and evaluation sets that push frontier models on real engineering work, then check whether scores reflect true improvement.
• Develop domain tools and evaluation criteria alongside client researchers and specialists from adjacent fields.
• Calibrate review standards by turning tacit engineering judgment into explicit, teachable rules that other reviewers can apply.
• Review LLM outputs and flag answers that sound plausible but break codes, standards, or physical limits.

Requirements9

• Bachelor's degree or higher in mechanical engineering or a closely related engineering discipline.
• 5+ years of hands-on professional mechanical engineering experience in industry, such as product design, thermal and fluid systems, HVAC, structural or stress analysis, manufacturing, automotive, aerospace, energy, robotics, or medical devices.
• Demonstrated ownership of real engineering work, including component or system design, FEA or CFD analysis, drawing and specification release, design reviews, testing, and production.
• Fluency with common engineering tools such as SolidWorks, CATIA, NX, Creo, AutoCAD, ANSYS, Abaqus, or MATLAB.
• Familiarity with relevant codes and standards such as ASME, ASTM, ISO, and GD&T per ASME Y14.5.
• Clear progression toward senior or lead engineering responsibility. A Professional Engineer license is a plus but not required.
• Hands-on use of large language models in professional work and the judgment to separate a well-reasoned answer from a plausible-sounding wrong one.
• Availability for 40 hours per week for an initial 2 to 3 month engagement, with extension possible.
• Excellent written communication and the ability to give precise, structured feedback.

Who Should Apply

Practicing mechanical engineers with 5+ years of industry ownership fit best, particularly those who have released drawings, run FEA or CFD, and worked with codes like ASME or GD&T. You should already use large language models in regular engineering work and write feedback that is exact enough for another engineer to act on. The role suits people who can commit 40 hours per week for 2 to 3 months and who want to shape how AI models reason about mechanical design, thermal systems, stress analysis, manufacturing, or controls. Candidates with academic research but no product ownership, or no professional LLM use, often score low because the work demands real design review judgment. Another common rejection reason is vague written feedback that cannot be turned into evaluation criteria or reference solutions.

Salary Insight