Hardware Engineering Specialist - AI Trainer

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 D'Angelo , Larry Summers , and Jack Dorsey .

Position: Manufacturing - Electronics 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. Include design review decks, schematic/layout files, test reports, yield analyses, BOMs, ECOs, reliability/validation reports, and email threads. Represent platforms like ANSYS Fluent , Siemens Opcenter MES , GitHub/GitLab .
• Design multi-step tasks grounded in real workflows. Require navigating multiple apps, files, and stakeholders to challenge frontier AI agents.
• Collaborate with other electronics-manufacturing 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 electronics-manufacturing 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 Electrical Engineering, Computer Engineering, or related discipline
• 3+ years of full-time experience at a Fortune 500 semiconductor, consumer-electronics, or networking-hardware company, or a major contract manufacturer (Foxconn, Flex, Jabil, Celestica)
• Background in semiconductor design, fabrication, PCB design, electronic-assembly, hardware test engineering, or electronics supply-chain
• Day-to-day use of ANSYS Fluent/STAR-CCM+ , Siemens Opcenter or Rockwell FactoryTalk , and GitHub/GitLab
• Strong analytical thinking and writing skills

Compensation & Legal

• Task Completion Pay: Competitive and based on task quality (~$1,150 – $1,450 per completed task, subject to change as the project evolves)
• Performance Bonus: Top performers receive a weekly bonus incentive on top of their per task rate
• Hourly Opportunity: Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput

Application Process (Takes 20–30 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: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.