Mechanical Engineering Expert

About this role

**Role Overview** - Mercor is seeking senior mechanical engineering professionals to build evaluation tasks for AI systems operating in Fortune 500 enterprise product design and manufacturing contexts. - The workflows are calibrated to the design complexity, safety stakes, and production scale of Fortune 500 and large industrial manufacturers. - Contributors design enterprise mechanical engineering scenarios, draft reference outputs, and write rubrics that capture how senior F500 engineering leaders think. **Key Responsibilities** - Construct enterprise mechanical engineering scenarios spanning complex product design cycles, multi-stakeholder design reviews, and manufacturing or regulatory certification processes at F500 accounts. - Build tasks across F500 product design and CAD modeling, thermal/fluid systems analysis, structural and stress analysis, manufacturing process engineering, and reliability/failure analysis. - Develop engineering scenarios involving tools such as SolidWorks, ANSYS, CATIA, MATLAB/Simulink, and enterprise PLM systems (Siemens Teamcenter, PTC Windchill) in F500 stacks. - Apply enterprise mechanical engineering methodologies (FEA/CFD simulation, DFM/DFA principles, Six Sigma/DFSS, GD&T standards) and produce reference design specifications, engineering analyses, and executive-level technical narratives. - Author rubrics that distinguish authentic enterprise mechanical engineering judgment from generic textbook or coursework-level recall. **Ideal Qualifications** - 5+ years working as a mechanical engineer or engineering lead at a Fortune 500 industrial, automotive, aerospace, or manufacturing company (GE, Boeing, Caterpillar, Ford, Honeywell). - Direct ownership of F500-scale product designs, manufacturing processes, or engineering certification programs. - Fluency in enterprise mechanical engineering tooling and methodologies, plus understanding of how F500 safety standards, regulatory certification (ISO, FAA, FDA), and cross-functional design governance actually work. - Prior rubric, engineering-training curriculum, or design documentation authorship is a plus.

Skills & domains

• ai-training
• rlhf
• sme
• annotation
• Other Engineering