
Legal Domain Expert — AI Training & Evaluation
Listing checked August 29, 2026 · pay as published by Mercor
Overview
A senior legal practitioner sits inside a frontier AI lab's research team, where professional judgment becomes training signal for models that reason about legal work. The day-to-day involves reviewing the quality of legal tasks and model outputs, writing instruction specifications and golden solutions, and designing evaluation benchmarks. The engagement is a full-time W-2 position through Cincinnatus LLC, and the work takes place on-site in the Bay Area multiple days per week. This role needs a practicing specialist with deep domain knowledge, not a generalist or an academic.
What You'll Do5
- 1Audit legal tasks and model outputs for quality, flagging missing reasoning, superficial analysis, and answers that would not survive professional scrutiny.
- 2Write instruction specifications that define expected model behavior and produce golden solutions to legal problems that serve as correct references.
- 3Design new legal tasks that mirror real-world practice, and build evaluation sets that measure genuine model improvement.
- 4Work alongside client researchers to calibrate standards, turning implicit legal judgment into explicit, teachable criteria.
- 5Provide precise written feedback that helps researchers refine the model's reasoning over time.
Requirements7
- 1A Juris Doctor from an accredited law school, with preference for a degree from a top-tier program.
- 2At least five years of substantive post-JD legal practice at a recognized institution, with demonstrated progression to senior associate, counsel, partner, or equivalent.
- 3Active membership in good standing with at least one U.S. state bar.
- 4Real specialization in a practice area such as corporate and transactional, litigation, regulatory and compliance, intellectual property, employment and labor, or tax.
- 5Hands-on experience using large language models in professional legal work, including the judgment to tell well-reasoned answers from confident misinformation.
- 6Availability to commit 40 hours per week for an initial six-month engagement.
- 7Bay Area residency or willingness to relocate there at personal expense, with on-site presence required several days each week.
Who Should Apply
Practicing attorneys with deep specialization and a track record of owning complex matters will thrive here. The role is less suitable for recent graduates, generalists, or lawyers without active LLM experience, since the work depends on professional judgment and the ability to evaluate model reasoning against real legal standards. Candidates often score low on fit when they lack a distinct practice specialty or cannot point to specific instances of using AI tools in their daily legal work. Another common rejection reason is failing to show seniority: internships and clerkships do not count toward the five-year requirement.
Salary Insight
The posted pay range is $60-$100 per hour. The lower end matches lawyers who just clear the five-year experience threshold, while the upper end is for specialists with partner-level seniority or a top-tier JD.
Pay and demand for AI Training roles
AggregatedTypical pay
$75/hour
This role
$60–$100/hr
Most AI Training roles pay $42–$100 per hour. This role's pay falls inside that range.
Based on 1,061 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
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- Listed in last 30 days
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- Remote
- 98%
Hiring most right now: micro1 (362) · SME Careers (253) · Mercor (145)
Most requested skills · share of roles
- ai training13%
- ai evaluation11%
- llm evaluation11%
- data annotation9%
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Compensation
$60–100/hr
Required Skills
Application Tip
In your application, describe a specific legal matter where you used an LLM to produce analysis and then caught a subtle error in the model's reasoning. Name your primary practice area and your state bar membership, and quantify your years of post-JD experience to make fit clear.
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