AI Summary
Design and develop computational problems using scientific software libraries. Collaborate with teams to improve AI model performance. Work independently and iterate on problem designs based on calibration feedback.
Key Highlights
Design graduate-level computational problems
Develop problems requiring sophisticated use of scikit-rf and ngspice
Collaborate asynchronously with teams
Key Responsibilities
Design graduate-level computational problems
Develop problems requiring sophisticated use of scikit-rf and ngspice
Collaborate asynchronously with teams
Work independently and iterate on problem designs based on calibration feedback
Technical Skills Required
Benefits & Perks
$70-$100/hour compensation
Remote work
15-20 hours/week commitment
Nice to Have
Experience across multiple listed domains or tools
Familiarity with benchmark or evaluation design
Background in scientific pedagogy or exam/problem-set design
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.
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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.
- 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.
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- Upload resume
- AI interview based on your resume
- Submit form
- 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: [email protected]
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