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About the Role
Turing invites Legal Experts to join projects that fine-tune AI models. If you enjoy applying legal reasoning, analyzing complex cases, and providing clear, structured feedback, this is your chance to put your expertise to work in a new way. Your background in U.S. law is exactly what’s needed to shape how the next generation of AI understands and reasons about legal systems.
What You'll Do
Review and evaluate AI-generated responses to U.S. legal hypotheticals across multiple areas of law.
Apply a structured legal rubric to assess issue spotting, accuracy, reasoning, and application of law.
Identify gaps, edge cases, and blind spots in legal reasoning, helping define benchmarks for legal AI performance.
Provide detailed, high-quality annotations and written feedback to refine AI models.
Collaborate with researchers and project managers to align evaluation standards and project goals.
You're a Good Fit If You
Required skills: LLM
Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active).
3+ years of U.S. legal practice.
Strong reasoning skills across core areas of U.S. law.
Excellent written communication and attention to detail.
High ethical standards; priori experience in AI annotation is a plus.
Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.
Common Questions
Turing has a reliability rating of very reliable based on the listings we track, with an onboarding time of 5-14 days. See our full Turing review for the details behind that rating.
Applying takes you to Turing's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.
Up to $150/h - Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.
Review and evaluate AI-generated responses to U.S. legal hypotheticals across multiple areas of law. Apply a structured legal rubric to assess issue spotting, accuracy, reasoning, and application of law. Identify gaps, edge cases, and blind spots in legal reasoning, helping define benchmarks for legal AI performance.