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.

Manufacturing - Electronics Expert

Contract

$1,150–$1,450 per task. Competitive and based on task quality. Top performers receive a weekly bonus incentive and may be offered an hourly compensation model based on sustained quality and throughput.

Remote

• 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, Git Hub/Git Lab.
• 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.

• 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 Factory Talk, and Git Hub/Git Lab.
• Strong analytical thinking and writing skills.