Mercor is partnering with leading AI labs on Project Atlas — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in. We're seeking experienced automotive mechanical-engineering professionals from Fortune 500 OEMs and major Tier-1 suppliers (e.g., GM, Ford, Stellantis, Tesla, Toyota North America, Magna, Bosch, Denso, Aptiv) to recreate the digital workspaces they run every day and design the tasks that genuinely challenge state-of-the-art AI. You'll bring your expertise in vehicle design, powertrain / chassis engineering, manufacturing engineering, or automotive quality to build a high-fidelity environment that mirrors the tools, files, and cross-functional workflows of a modern automotive enterprise — and then author tasks grounded in the programs you actually run today. Key Responsibilities - Build a realistic digital workspace centered on the Drive folders you use day-to-day — the design reviews, DFMEA / PFMEA documents, PPAP packages, tolerance analyses, benchmarking decks, test reports, and email threads that reflect how you actually organize your work — with some representation of the platforms that support it (e.g., ANSYS Fluent / STAR-CCM+, Siemens Opcenter, SAP S / 4HANA) - Design multi-step tasks grounded in your real workflows that require navigating multiple apps, files, and stakeholders in a way that meaningfully challenges frontier AI agents - Collaborate with other automotive engineering experts in your field to design the environment, shape task scope, and review each other's scenarios for realism and rigor - Work asynchronously with research teams to refine task designs and evaluation criteria for automotive engineering agent benchmarks - Contribute to frontier AI research and benchmarking — the work you produce directly informs how leading labs train and evaluate the next generation of AI systems Ideal Qualifications - BS / MS in Mechanical Engineering or related discipline - 3+ years of full-time experience at a Fortune 500 automotive OEM or Tier-1 supplier - Background in one or more areas such as : - Vehicle or subsystem design (body, chassis, interior, powertrain, thermal) - CAE / CAD / simulation engineering (structural, NVH, CFD, durability) - Manufacturing / process engineering (stamping, body-in-white, assembly, paint) - Quality engineering under IATF 16949 / APQP / PPAP - EV / battery / ADAS engineering - Day-to-day use of ANSYS Fluent / STAR-CCM+, Siemens Opcenter or Rockwell FactoryTalk, and SAP S / 4HANA - Strong analytical thinking and writing — able to translate automotive engineering workflows into structured task specs Compensation Note This project is expected to begin on an effective hourly rate, but will transition to a model where experts are compensated based on throughput of quality work rather than a flat accruing hourly rate. About Mercor Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. Backed by investors including Benchmark, General Catalyst, Adam D'Angelo, and Jack Dorsey. Thousands of professionals across domains contribute to projects shaping the next generation of AI systems.