Job Overview
Job description
- Salary:
- USD 75 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: STEM Expert (Physics, Chemistry, Mathematics, Biology)
- Type: Contract
- Compensation: $75/hour
- Location: Remote
- Role Responsibilities
Evaluate and analyze complex problems in physics , chemistry , mathematics , or biology to enhance model outputs .
Develop structured reasoning approaches for quantitative methods and data analysis .
Collaborate on interdisciplinary problems to ensure comprehensive solutions.
Communicate solutions clearly and concisely to AI research teams .
Work independently to deliver high-quality outputs with flexible hours .
Requirements
- Bachelor's , Master's , or PhD in a STEM field (or currently pursuing one).
- 1+ year of relevant experience in academic, research, internships, or industry.
- Strong problem-solving and analytical thinking skills.
- Ability to work independently.
- 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:
Additional Information
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
- Role:
- Scientific Analyst - Fully Remote | Upto $75/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