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First seen by Alion on Oct 18, 2026. Mercor scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Mercor is an American company founded in 2023 by three Thiel Fellows that recruits and pays domain experts to produce the training and evaluation data frontier artificial intelligence labs need. Its business shifted quickly from general talent matching to expert data work: as models became competent at ordinary tasks, the scarce input became judgement from practising doctors, lawyers, bankers and engineers, and Mercor sources, vets and pays those people at very large scale. Headquartered in San Francisco and valued in the billions within two years of founding, it pays out enormous sums annually to a contributor network rather than employing them.
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
  • 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:

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

Originally posted on Himalayas

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