Job Overview
Job description
- Salary:
- USD 50 - 175 per hour
- Location:
- United States
- 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: JSON-fluent & Rubrics Expert
- Type: Contract
- Compensation: $50–$175/hour
- Location: Remote
- Commitment: 20–40 hours/week
- Role Responsibilities
Evaluate JSON-formatted AI model outputs against defined grading rubrics.
Read and understand written task descriptions and rubrics.
Parse, read, and assess JSON-based outputs, grading them against provided rubrics.
Ensure attention to detail and consistency in applying rubric criteria.
Work independently to meet tight deadlines within 12-24 hours .
Requirements
- Available to start today, July 24 , running to July 27-28 .
- Comfortable reading and interpreting JSON files .
- Based in the US .
- Access to a desktop or laptop computer (no Chromebooks).
Preferred
Prior Mercor experience, especially in applying detailed rubrics and evaluation criteria consistently.
- Start Date
- Today, July 24
- 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:
- JSON Evaluator - Fully Remote | Upto $175/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