Public Interest Attorney (Civil Justice Expert) | $150/hr Remote
Overview
Mercor is seeking experienced public interest attorneys to help refine AI's legal reasoning capabilities. In this remote, project-based role, you'll review AI-generated analyses of civil justice scenarios and provide structured expert feedback. It's an opportunity to apply your litigation and advocacy expertise to cutting-edge AI evaluation while supporting access to justice.
What You'll Do5
- 1Evaluate AI-produced legal reasoning for both accuracy and practical applicability in real-world contexts.
- 2Analyze scenarios covering housing disputes, family law, consumer protection, debt collection, and bankruptcy.
- 3Assess the AI's issue spotting, procedural correctness, and litigation strategy.
- 4Identify legal errors or gaps in reasoning and recommend targeted improvements.
- 5Deliver concise written evaluations with clear, actionable feedback.
Requirements5
- 1A Juris Doctor (JD) from an accredited law school.
- 2Current active U.S. bar admission in good standing.
- 3At least 5 years of experience in public interest law or civil litigation.
- 4Proven expertise in civil legal advocacy, including case strategy and client counseling.
- 5Exceptional legal writing and analytical skills with strong attention to detail.
Who Should Apply
This role is ideal for attorneys with a background in nonprofit legal work, impact litigation, or civil advocacy who want to help shape AI tools for the legal sector. Candidates with experience in employment law, elder law, disability rights, or policy reform—and an interest in emerging legal technology—will thrive. You should be comfortable offering critical, structured feedback and working independently on a flexible schedule.
Salary Insight
Compensation is $150.00 per hour for approximately 15 hours per week over a 2–3 week project.
Application Tip
When applying, include a brief example of a civil case where your legal analysis directly influenced an outcome—this demonstrates the kind of clear, structured reasoning the AI evaluation requires.
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