[Hiring] Legal Research Specialist @Mercor

Role Description

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 Expert

Type: Contract

Compensation: $70–$120/hour

Location: Remote

Role Responsibilities

• Review and QA AI-agent rollouts by verifying agent answers against actual dockets, ensuring accuracy in case details and outcomes.
• Identify failure modes by analyzing agent performance and flagging tasks that are too simple or solvable without PACER.
• Improve realism and difficulty of tasks to reflect authentic federal docket research, enhancing challenge for capable agents.
• Update grading guidance to ensure accuracy, focusing on correct answers and identifying errors such as misread procedural posture.
• Catch plausible-but-wrong answers that might be overlooked by non-expert reviewers.

Qualifications

• Frequent hands-on PACER / CM/ECF use for federal docket research in your current or recent role, weekly or more.
• 2+ years in federal litigation support: litigation paralegal, docket/court clerk, legal-research librarian, or litigator.
• Ability to read a federal docket on sight, decode a case number, trace procedural posture, and recognize case types.
• Proficiency with PACER search mechanics and name-variant traps.
• Sound judgment on correct, complete answers with confidence to mark plausible answers wrong.

Requirements

• Experience with bankruptcy dockets and complex/multidistrict litigation.
• Hands-on experience across multiple courts.

Application Process

• Upload resume
• AI interview based on your resume
• Submit form

For details about the interview process and platform information, please check: Interview Process

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.