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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, 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
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