Remote Labor Attorney — EEOC & Wage/Hour Expert (Hourly)

mercor; United States; Remote; USD 117,000 - 165,000; Part time

Job summary

Mercor, headquartered in San Francisco, connects elite creative and technical talent with leading AI research labs. A Legal Expert — Employment/Labor is a remote hourly contract (20–40 hrs/week) seeking 1–4 years of practice. Licensure in the US/Canada/UK is required.

Design realistic workplace scenarios, draft reference responses, and assess AI outputs, collaborating with the research team for model improvement.

Qualifications

• 1–4 years of professional employment/labor law experience.
• J.D. (US/Canada) or LL.B./LL.M. (UK) from an accredited law school.
• Licensed to practice law in the US, Canada, or UK.
• Experience with EEOC charges, wage/hour analyses, severance drafting, non‑compete drafting, harassment investigations, or NLRB proceedings.
• Excellent written communication with high attention to detail.

Responsibilities

• Design realistic workplace scenarios from your practice, including EEOC charges, severance, and non‑compete drafting, harassment investigations, wage & hour analyses, NLRB matters, and employment policies.
• Write "golden" reference responses at attorney‑level quality.
• Grade AI-generated responses against structured rubrics.
• Provide written feedback to the research team to improve model behavior.
• Participate in onboarding office hours and specialty calibration sessions.

Skills

EEOC charge response

Wage & hour analysis

Non‑compete drafting

Harassment investigations

Employee handbook drafting

NLRB proceedings

Education

J.D. (US/Canada) or LL.B./LL.M. (UK)

Tools

HRIS / case management tools

Job description

Mercor, headquartered in San Francisco, connects elite creative and technical talent with leading AI research labs. A Legal Expert — Employment/Labor is a remote hourly contract (20–40 hrs/week) seeking 1–4 years of practice. Licensure in the US/Canada/UK is required.

Design realistic workplace scenarios, draft reference responses, and assess AI outputs, collaborating with the research team for model improvement.