Legal Tech Specialist - AI Trainer

mercor

United States

À distance

Temps partiel

14 jours+
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Résumé du poste

Mercor seeks a Legal Technology Expert to design and refine task-based benchmarks for frontier AI in a remote setup. You will craft digital workspaces around DR drive workflows, integrate e-discovery plans and CLM workstreams, and collaborate with top legal-ops and tech teams to ensure realism and rigor.

You should bring 3+ years in legal operations or technology, strong analytical and writing skills, and hands-on experience with Relativity, Icertis, HotDocs/Contract Express, and Clio/MyCase.

Qualifications

  • 3+ years of full-time experience in legal operations or legal technology at a top law firm, 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.
  • Familiarity with legal intake, knowledge management, and enterprise-wide legal program design.
  • Proficiency with Relativity, Icertis, HotDocs/Contract Express, and Clio/MyCase.
  • Strong analytical thinking and writing skills.

Responsabilités

  • Build a realistic digital workspace centered on your Drive folders, including process maps, intake forms, matter-management reports, CLM rollouts, e-discovery plans, and vendor decks.
  • Design multi-step tasks based on real workflows and navigate multiple apps, files, and stakeholders.
  • Collaborate with legal-operations and legal-tech experts to shape task scope and ensure realism and rigor.
  • Work asynchronously with research teams to refine task designs and evaluation criteria for benchmarks.
  • Contribute to frontier AI research by informing how labs train and evaluate AI systems.

Connaissances

Analytical thinking
Writing skills

Outils

Relativity
Icertis
HotDocs
Contract Express
Clio
MyCase

Description du poste

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 per completed 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 based on real workflows. Navigate multiple apps , files , and stakeholders to challenge frontier AI agents .
  • Collaborate with other legal-operations and legal-tech experts to design the environment, shape task scope, and review scenarios for realism and rigor.
  • Work asynchronously with research teams to 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.
  • Familiarity with legal intake, knowledge management, and enterprise-wide legal program design.
  • 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 transition to an hourly compensation model based on sustained quality and throughput.
Resources & Support
  • For details about the interview process and platform information, please check:
  • For any help or support, reach out to:
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