RF Circuit Design Expert - PhD - AI Trainer
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:
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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