Logo for Mercor

Electrical Engineer - Fully Remote | Upto $85/hr

Role overview

Qualifications

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience)
  • Proven proficiency with scientific software libraries like scikit-rf or ngspice
  • Strong Python skills for writing problem setups and solution validators
  • Ability to work in a Linux/terminal environment with remote compute sandboxes

Responsibilities

  • Design challenging computational problems to evaluate AI capabilities in solving scientific tasks
  • Develop problems requiring the use of specialized scientific software like scikit-rf and ngspice
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty
  • Collaborate with research teams to improve AI model performance and training data quality

Key facts

Hard skills

Other skills

  • Collaboration
  • Time Management

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.

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

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: Computational Electrical Engineering & RF/Circuit Design Expert
Type: Contract
Compensation: $70–$85/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to evaluate AI capabilities in solving scientific tasks.
  • Develop problems requiring the use of specialized scientific software like scikit-rf and ngspice.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Collaborate with research teams to improve AI model performance and training data quality.
  • Work independently and asynchronously to meet deadlines and refine problem designs.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with scientific software libraries like scikit-rf or ngspice.
  • Strong Python skills for writing problem setups 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.

Related jobs

See all Telecommunications Engineer jobs

Other jobs at Mercor