Evergreen remote pool where US litigators compare AI legal outputs, explain their choices and write litigation prompts with model answers. Suits attorneys with several years of civil or commercial litigation practice.
About the role
About the Role
Mercor is partnering with a leading AI lab to train frontier models on high-quality legal reasoning data. This is an evergreen talent pool for experienced US Litigation attorneys — by applying, you join a standing bench and are considered for ongoing and upcoming legal-AI projects as they launch. We review applications on a rolling basis and reach out when work that fits your background comes up.
Typical work includes recurring side-by-side evaluations and legal dataset generation: you'll compare AI-generated legal work, judge which response is stronger and why, and create realistic litigation tasks and reference answers.
What You'll Do
- Compare pairs of responses to litigation tasks (research memos, pleadings, motions, briefs, discovery and case strategy) and decide which is stronger, with clear reasoning
- Write concise justifications grounded in the source documents and applicable US law
- Create realistic legal prompts, fact patterns and model answers drawn from your litigation experience
- Flag errors, gaps and risky advice in AI-generated legal content
- Attend onboarding and calibration sessions
You're a Good Fit If You
- Are admitted to practice in at least one US state (active bar membership)
- Have 3+ years of US litigation practice, such as civil or commercial litigation, motion practice, discovery and trial preparation
- Hold a J.D. from an ABA-accredited law school
- Write clearly and pay close attention to detail
Bonus Qualifications
- 2+ years of experience at an AmLaw 100 firm (strongly preferred)
- Prior work on legal AI projects with Mercor
- Prior data annotation, AI evaluation or legal-benchmark experience
Role Highlights
- Evergreen talent pool — apply once and be considered for ongoing projects as they launch
- Fully remote, flexible hours; recurring tasks as new work comes up
- Applications reviewed on a rolling basis
Official source: work.mercor.com. Details can change; the platform's page is the final word. Something wrong with this listing? Tell us.
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