Job Overview
Job description
- Salary:
- USD 150 - 160 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: Corporate/M&A Lawyer (United Kingdom)
- Type: Contract
- Compensation: $150–$160/hour
- Location: Remote
- Commitment: ~10 hours/week
- Role Responsibilities
Run the same set of prompts across two AI (LLM) platforms .
Compare outputs from both platforms side by side.
Score each response against a standardized rubric we provide.
Submit concise written feedback for every evaluation.
Work independently to meet deadlines and ensure quality.
Requirements
- Primarily law-firm experience — at least 2 years (3+ preferred) at a law firm in corporate/M&A or transactional practice.
- Qualified to practise in the United Kingdom , with a strong command of UK corporate and commercial law.
- Native or fluent English , with precise written communication.
- Able to work independently to a rubric and to deadlines.
Compensation & Legal
Confidentiality: all work is covered by NDA.
- 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.
#hiring mercor
- Role:
- Transactional Lawyer - AI Trainer
- 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