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Engineering Simulation Specialist

Mercor · 100% remote · Contract · Posted

Pay
$60–90/hr
Location
Worldwide
Languages
English
Hours
Flexible
Openings
Not listed
Level
Expert
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Summary

Write engineering simulations and specification sheets to evaluate AI models, defining specs with pass/fail thresholds and prompts for the model.

What you'll do

  • Write engineering simulations in Python
  • Define specification sheets with quantitative pass/fail thresholds
  • Design prompts for the model to attempt designs
  • Ensure simulation problems are rigorous and testable

Requirements

  • Have deep applied expertise in control systems, analog or RF circuits, power electronics, or mechanical design
  • Hold a PhD or equivalent industry track record
  • Write simulations in Python
  • Express acceptance criteria as quantitative, testable thresholds
  • Design problems that cannot be shortcut but can be judged rigorously
  • Work with browser-based studio and GitHub

Skills

  • Python
  • Control Systems
  • Analog Circuits
  • RF Circuits
  • Power Electronics
  • Mechanical Design
  • GitHub

Full description

About the role

A frontier engineering-reasoning evaluation run in collaboration with a leading AI research lab. The work measures whether state-of-the-art models can reason from first principles in your engineering domain rather than retrieve facts from training data — and you get visibility into the model's internal reasoning on your own tasks.

What you'll do

Domain experts write simulations and specification sheets; the model attempts to design an artifact — controller gains, circuit parameters, geometry — that satisfies every spec.

You define the simulation, a set of specs with pass/fail thresholds, and the prompt. The model probes your simulation with a limited number of calls, then submits a final design. An agentic grader runs the simulation and scores spec satisfaction.

Who we're looking for

  • Deep applied expertise in control systems, analog or RF circuits, power electronics, or mechanical design — PhD or equivalent industry track record.
  • Comfortable writing simulations in Python and expressing acceptance criteria as quantitative, testable thresholds.
  • Able to design a problem you can't shortcut yourself, but can still judge rigorously.
  • Comfortable working in a browser-based studio and GitHub.

Support

Onboarding calls run daily, alongside internal tooling built to help you work faster. Prior model-evaluation experience is not required.

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