Job Overview
Job description
- Salary:
- USD 85 per hour
- Location:
- Germany
- 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: Physics PhD
- Type: Contract
- Compensation: $85/hour
- Location: Remote
- Commitment: 4–6 tasks/week
- Role Responsibilities
Develop challenging problems in Statistical Mechanics , Condensed Matter , AMO Physics , and other sub-domains.
Contribute to a project involving state-of-the-art large language models .
Create high-quality data to inform the future of AI innovation .
Collaborate with AI research teams to ensure data quality and relevance.
Work independently and asynchronously to meet task deadlines.
Requirements
- PhD in Physics
- Graduate degree from US/UK/Canada/Western Europe
- High attention to detail
- Exceptional written and verbal communication skills
- Excellent proficiency in English
- Start Date
February ; applications reviewed on a rolling basis.
- 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:
- Astrophysics Specialist - Fully Remote | Upto $85/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