Job Overview
Job description
- Salary:
- USD 60 per hour
- Location:
- United Kingdom
- Work arrangement:
- On-site
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: Legal Reviewer — Document QC
- Type: Contract
- Compensation: $60/hour
- Location: Remote
- Role Responsibilities
Create rubrics to grade legal documents that are understandable by laymen.
Review processed legal documents against a written QC rubric to ensure correct handling of identifying and sensitive elements.
Flag and categorize defects, escalating ambiguous cases for adjudication.
Work across various document types, including commercial contracts, IP agreements, and tax filings.
Ensure precision and consistency in high-volume review work.
Requirements
- Qualified lawyer with 3+ years ' post-qualification experience.
- Comfort moving across many document types.
- Demonstrable precision and consistency on high-volume review work.
- Able to follow and improve a written protocol.
Preferred
Experience in managed document review, e-discovery, contract management, or data privacy.
- 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:
- Legal Document Reviewer - Expert
- 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