Electrical Engineering Expert – Visual Reasoning Benchmark Part-time NEW

Electrical Engineering Expert – Visual Reasoning Benchmark

$70-$85 per hour

Part-time position United States Early applicant

Location Requirements: United States

Mercor is building the Industrial Technical Visual Reasoning Benchmark, an evaluation dataset that tests how well AI models reason over authentic engineering visuals. We are hiring Electrical Engineering experts to author benchmark problems in your field.

For each problem you will source a genuine professional artifact (circuit schematics, PCB layouts, block diagrams, timing diagrams, control systems), write a problem that cannot be solved from the text alone, determine a concise and unambiguous final answer, and write a step-by-step worked solution at a professional level. You will tag each problem with its domain, artifact type, skill tested, and difficulty. Every problem is independently reviewed by another domain expert before it ships.

This is a part-time, remote, hourly engagement for practicing professionals with hands-on experience reading real electrical engineering artifacts. Simplified textbook figures and questions answerable by simple lookup are out of scope; the work rewards genuine structural, spatial, and multi-step reasoning.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.