Automotive Mechanical Engineering Expert | $45–65/hr | Worldwide Remote
Mercor is partnering with leading AI labs on Project Atlas — an initiative to build realistic enterprise environments where frontier AI agents are trained and evaluated. We're seeking experienced automotive mechanical engineers from Fortune 500 OEMs and major Tier-1 suppliers (e.g., GM, Ford, Stellantis, Tesla, Toyota, Magna, Bosch, Denso, Aptiv) to recreate the digital workspaces they use daily and design tasks that genuinely challenge state-of-the-art AI systems.
What You'll Do
- Build a realistic digital workspace mirroring your day-to-day tools — including design reviews, DFMEA/PFMEA documents, PPAP packages, tolerance analyses, benchmarking decks, test reports, and cross-functional email threads
- Represent key platforms such as ANSYS Fluent / STAR-CCM+, Siemens Opcenter, and SAP S/4HANA within the simulated environment
- Design multi-step tasks grounded in real automotive engineering workflows that challenge frontier AI agents across apps, files, and stakeholder interactions
- Collaborate asynchronously with other automotive experts and AI research teams to refine task designs, evaluation criteria, and scenario realism
- Directly contribute to frontier AI research and benchmarking that shapes the next generation of AI systems
Ideal Qualifications
- BS/MS in Mechanical Engineering or a closely related discipline
- 3+ years of full-time experience at a Fortune 500 automotive OEM or Tier-1 supplier
- Background in one or more of the following areas:
- Vehicle or subsystem design (body, chassis, interior, powertrain, thermal)
- CAE / CAD / simulation engineering (structural, NVH, CFD, durability)
- Manufacturing or process engineering (stamping, body-in-white, assembly, paint)
- Quality engineering under IATF 16949 / APQP / PPAP
- EV, battery, or ADAS engineering
- Day-to-day proficiency with ANSYS Fluent / STAR-CCM+, Siemens Opcenter or Rockwell FactoryTalk, and SAP S/4HANA
- Strong analytical thinking and writing skills — able to translate complex engineering workflows into structured task specifications
Compensation
This engagement begins at an effective hourly rate of $45–$65/hr, with a planned transition to a throughput-based compensation model rewarding quality output.
About Mercor
Mercor is a talent marketplace connecting top domain experts with leading AI labs and research organizations. Backed by Benchmark, General Catalyst, Adam D'Angelo, and Jack Dorsey, Mercor supports thousands of professionals contributing to projects that define the future of AI.
