Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

RF Circuit Design Expert - PhD - AI Trainer

Job

Mercor

Remote

$176,800 Salary, Part-Time

Posted 5 days ago (Updated 1 day ago) • Actively hiring

Expires 7/13/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
99
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

RF Circuit Design Expert
  • PhD•AI Trainer Mercor•3.
9 Detroit, MI Job Details Part-time $70
  • $100 an hour 16 hours ago Qualifications Programming languages Linux Technical Proficiency Full 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:
STEM Computational Scientific Software & Evaluation Design•
Electrical Engineering & RF/Circuit Design Type:
Contract Compensation:
$70
  • 100/hour
Location:
Remote Commitment:
15-20 hours/week Role Responsibilities Design graduate-level computational problems using domain-specific scientific software libraries. Develop problems requiring sophisticated use of scikit-rf for RF and microwave network analysis and ngspice for circuit simulation. Calibrate tasks against state-of-the-art AI models and refine designs to achieve target difficulty. Create problems that demand strategic reasoning to uncover hidden information from data. Work independently and iterate on problem designs based on calibration feedback. Collaborate asynchronously with teams to improve AI model performance . Qualifications Must-Have Graduate-level training in a relevant STEM domain ( MS, PhD, or equivalent research experience ). Demonstrated proficiency with scientific software libraries like scikit-rf or ngspice . Strong Python programming 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 pedagogy 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:
PS:
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor