Role Overview
Turing invites Legal Experts to join projects that fine-tune AI models like ChatGPT. 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. No prior AI experience is required — 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 Does Day-to-Day Look Like
• 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.
Requirements
• Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive).
• 3+ years of U.S. legal practice or teaching experience.
• Strong reasoning skills across core areas of U.S. law.
• Excellent written communication and attention to detail.
• High ethical standards; interest in AI is a plus.
Perks of Freelancing with Turing
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Competitive compensation
• Flexible, fully remote work arrangement.
• Learn how to use AI to advance the legal field.
Offer Details
• Commitment: Flexible, 10–30 hrs/week
• Duration: ~1 month, with the possibility of extension based on performance and project needs.
About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results