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Electrical Engineer - Fully Remote | Upto $100/hr

Role overview

Qualifications

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience)
  • Proven proficiency with scientific software libraries through research publications, open-source contributions, or professional work
  • Strong Python skills for writing problem setups, oracle functions, and solution validators
  • Ability to work in a Linux/terminal environment with remote compute sandboxes

Responsibilities

  • Design challenging computational problems to test AI systems using real scientific software
  • Develop problems requiring skilled use of specialized scientific software like scikit-rf and ngspice
  • Evaluate and refine problems through testing loops against state-of-the-art AI models
  • Create problems that require strategic planning and efficient query or experiment execution

Key facts

Hard skills

Other skills

  • Collaboration
  • Strategic Planning

About the company

Mercor logo

Mercor

  • Job Boards & Talent Marketplaces
  • 51–200
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

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Job description

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: Electrical Engineering & RF/Circuit Design Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI systems using real scientific software.
  • Develop problems requiring skilled use of specialized scientific software like scikit-rf and ngspice.
  • Evaluate and refine problems through testing loops against state-of-the-art AI models.
  • Create problems that require strategic planning and efficient query or experiment execution.
  • Work independently to refine problem designs based on feedback.
  • Collaborate asynchronously, ensuring flexibility in hours and meeting deadlines.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with scientific software libraries through research publications, open-source contributions, or professional work.
  • Strong Python skills for writing problem setups, oracle functions, and solution validators.
  • Ability to work in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

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.

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