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: $55–$75/hour Location: Remote Role Responsibilities Build a realistic digital workspace centered on the Drive folders you use day-to-day.

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.

Navigate multiple apps, files, and stakeholders to meaningfully 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.

Background in semiconductor design, fabrication, PCB design, 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 Transition from an hourly rate to compensation based on throughput of quality work. 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: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor