RF Circuit Design Expert - AI Trainer

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.

Responsibilities

• Design challenging computational problems to test AI using real scientific software for research-level tasks.
• Develop problems requiring skilled 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 AI research teams to improve problem-solving strategies and workflows.
• Work independently and asynchronously to refine problem designs based on feedback.

Requirements

• 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 independently and refine problem designs based on feedback.
• Comfortable working in a Linux/terminal environment with remote compute sandboxes.
• Available for at least 15–20 hours per week.

Qualifications

• 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.

Pay

$70–$100/hour

Schedule

15–20 hours/week (contract, remote)