Hardware Engineering Specialist - AI Trainer
Mercor, Inc.
Atlanta, GA, United States
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$114,400.0 - $156,000.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Computational Fluid Dynamics
Computer Engineering
Github
Test Scripts
Hardware Testing
Gitlab
Ansys
Job description
- 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.
Requirements
Do you have experience in Writing skills?, 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.
Benefits & conditions
4.04.0 out of 5 stars Atlanta, GA Remote $55 - $75 an hour - Part-time
About the company
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.
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