US Contract Attorney — In-House Counsel

Pearson · Remote

Pay
$100–120/hr
Commitment
hourly
Source
mercor
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About this 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 In-House Counsel** — 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 in-house legal tasks and reference answers. **What You'll Do** - Compare pairs of responses to in-house legal tasks (contract review, policy and compliance questions, risk assessments and business-facing legal advice) 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 in-house 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 legal practice, including in-house experience advising a business on contracts, compliance, employment, risk or disputes - 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

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