Jobs›Electrical Engineer

Electrical Engineer - Fully Remote | Upto $100/hr

mercor · Work from home
FractionalPart timeWork from home
PayPay not listed
WhereWork from home
TypeFull timeMid-level
Posted20 Sep25 days ago, via Himalayas
Skills they list12 named
Electrical EngineeringRF Circuit DesignAI EvaluationScientific Software DevelopmentContract EngineeringRemote Electrical EngineerRemote Electrical EngineeringElectrical Engineering FreelanceFreelance Electrical EngineerElectrical EngineerElectrical Engineering JobsElectrical Design Engineer
About this job

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

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Resources & Support

For details about the interview process and platform information, please check

For any help or support, reach out to

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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