Job Overview
Job description
- Salary:
- USD 60 - 90 per hour
- Location:
- United Kingdom
- Work arrangement:
- Remote
Role Summary
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: Engineering Simulation Specialist
- Type: Contract
- Compensation: $60–$90/hour
- Location: Remote
- Role Responsibilities
Develop simulations and specification sheets for AI models to design artifacts like controller gains and circuit parameters.
Define simulations, set specs with pass/fail thresholds, and create prompts for model evaluation.
Evaluate model designs using an agentic grader to score specification satisfaction.
Collaborate with AI research teams to ensure model outputs meet engineering standards.
Work independently and asynchronously in a browser-based studio and GitHub to improve model reasoning.
Requirements
- Deep applied expertise in control systems, analog or RF circuits, power electronics, or mechanical design.
- PhD or equivalent industry track record.
- Proficient in writing simulations in Python .
- Able to express acceptance criteria as quantitative, testable thresholds.
Resources & Support
For details about the interview process and platform information, please check:
Additional Information
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
- Role:
- Control Systems Expert - Fully Remote | Upto $90/hr
- Job Type:
- Contractor
Company profile
mercor
mercor.comMercor is an AI data company that connects domain experts across hundreds of professional fields with frontier AI labs and enterprises. Experts on its platform train and evaluate AI models, and its APEX benchmark family measures how AI performs on real-world professional work. Mercor Enterprise helps large companies capture how their most skilled people work and turn that expertise into AI agents. Founded in 2023, the company has offices in San Francisco, NYC and London.
- Founded
- 2023
- Funding Stage
- Series C