Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include BenchmarkGeneral CatalystPeter ThielAdam DAngeloLarry Summers and Jack Dorsey.
Build a realistic digital workspace centered on the Drive folders you use daily. Include design reviews DFMEA / PFMEA documentsPPAP packages tolerance analyses benchmarking decks test reports and email threads. Represent platforms like ANSYS Fluent / STAR-CCMSiemens OpcenterSAP S/4HANA.
Design multi-step tasks grounded in real workflows. Navigate multiple apps files and stakeholders to challenge frontier AI agents.
Collaborate with other automotive engineering experts to design the environment. Shape task scope and review 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. Your work directly informs how leading labs train and evaluate the next generation of AI systems.
Qualifications
Must-Have
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 vehicle or subsystem design CAE / CAD / simulation engineering manufacturing/process engineering or quality engineering.
Day-to-day use of ANSYS Fluent / STAR-CCMSiemens Opcenter or Rockwell FactoryTalk and SAP S/4HANA.
Strong analytical thinking and writing skills.
Compensation & Legal
This project will transition from an effective hourly rate to compensation based on throughput of quality work.
Application Process (Takes 2030 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information please check:
For any help or support reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey. Position: Manufacturing - Automotive (Mechanical Engineering) Exper...
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include BenchmarkGeneral CatalystPeter ThielAdam DAngeloLarry Summers and Jack Dorsey.
Build a realistic digital workspace centered on the Drive folders you use daily. Include design reviews DFMEA / PFMEA documentsPPAP packages tolerance analyses benchmarking decks test reports and email threads. Represent platforms like ANSYS Fluent / STAR-CCMSiemens OpcenterSAP S/4HANA.
Design multi-step tasks grounded in real workflows. Navigate multiple apps files and stakeholders to challenge frontier AI agents.
Collaborate with other automotive engineering experts to design the environment. Shape task scope and review 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. Your work directly informs how leading labs train and evaluate the next generation of AI systems.
Qualifications
Must-Have
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 vehicle or subsystem design CAE / CAD / simulation engineering manufacturing/process engineering or quality engineering.
Day-to-day use of ANSYS Fluent / STAR-CCMSiemens Opcenter or Rockwell FactoryTalk and SAP S/4HANA.
Strong analytical thinking and writing skills.
Compensation & Legal
This project will transition from an effective hourly rate to compensation based on throughput of quality work.
Application Process (Takes 2030 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information please check:
For any help or support reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.