Legal Operations Specialist - AI Trainer

About the job

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 Technology Expert

Type: Contract

Compensation: $1,750–$2,150/task

Location: Remote

Role Responsibilities

• Build a realistic digital workspace centered on the Drive folders you use daily. Include process maps, intake forms, matter-management reports, CLM rollouts , e-discovery plans, vendor-evaluation decks, and email threads.
• Design multi-step tasks grounded in real workflows. Navigate multiple apps, files, and stakeholders to meaningfully challenge frontier AI agents .
• Collaborate with other legal-operations and legal-tech experts. Design the environment, shape task scope, and review scenarios for realism and rigor.
• Work asynchronously with research teams. Refine task designs and evaluation criteria for legal-tech agent benchmarks.
• Contribute to frontier AI research and benchmarking. Your work directly informs how leading labs train and evaluate the next generation of AI systems .

Qualifications

Must-Have

• 3+ years of full-time experience in legal operations or legal technology at an AmLaw 100 firm, Fortune 500 in-house legal department, or major legal-tech vendor .
• Background in legal operations, process improvement, and legal-spend management.
• Experience with e-discovery and review workflows.
• Knowledge of contract lifecycle management and matter management.
• Day-to-day use of Relativity , Icertis , HotDocs / Contract Express , and Clio / MyCase .
• Strong analytical thinking and writing skills.

Preferred

• CLOC / ACC Legal Ops involvement.

Compensation & Legal

• Task Completion Pay: Competitive and based on task quality (~$1,750 – $2,150 per completed task, subject to change as the project evolves).
• Performance Bonus: Top performers receive a weekly bonus incentive on top of their per task rate.
• Hourly Opportunity: Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.

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:
• For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.