[Hiring] Vehicle Design Specialist - AI Trainer @Mercor

Role Description

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 D'Angelo, Larry Summers, and Jack Dorsey.

Position: Manufacturing - Automotive (Mechanical Engineering) Expert

Type: Contract

Compensation: $1,150–$1,450/task

Location: Remote

Role Responsibilities

• Build a realistic digital workspace centered on the Drive folders you use daily, including design reviews, DFMEA/PFMEA documents, PPAP packages, tolerance analyses, benchmarking decks, test reports, and email threads.
• Design multi-step tasks grounded in real workflows, requiring navigation of 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, directly informing 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.
• Expertise in vehicle or subsystem design, CAE/CAD/simulation engineering, manufacturing/process engineering, or quality engineering.
• Day-to-day use of ANSYS Fluent/STAR-CCM+, Siemens Opcenter, or SAP S/4HANA.
• Strong analytical thinking and writing skills.

Requirements

• Task Completion Pay: Competitive and based on task quality.
• Performance Bonus: Weekly bonus incentive for top performers.
• Hourly Opportunity: Potential transition to hourly compensation for sustained quality and throughput.

Application Process

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check: Interview Process
• For any help or support, reach out to: [email protected]
• Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.