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Advance the frontier of AI by training large language models to think like skilled legal professionals, focusing on building high-quality evaluation and training datasets. Evaluate how models handle complex hypothetical cases and refine their ability to apply U.S. law with precision and nuance.
Responsibilities
- Review and evaluate model outputs on complex U.S. legal hypotheticals across multiple domains of law
- Apply a structured legal rubric to assess accuracy, relevance, logical reasoning, and application of law
- Identify gaps, edge cases, and reasoning blind spots, helping define new benchmarks for legal understanding in AI
- Provide clear, consistent annotations and detailed feedback that directly improve model fine-tuning and legal reasoning capabilities
Requirements
- J.D. from an accredited U.S. law school, with active or inactive Bar admission
- 3+ years of experience practicing law or teaching at a U.S.-based law school
- Proven ability to apply U.S. legal reasoning to complex, nuanced cases
- Strong foundational knowledge across multiple areas of U.S. law, including contracts, torts, criminal law, constitutional law, corporate law, and civil procedure
- Exceptional attention to detail, precision, and consistency in evaluating and annotating legal work
- Excellent written communication skills for delivering clear, high-quality feedback
- High ethical standards and the ability to handle sensitive legal information with confidentiality
Qualifications
- Juris Doctor (J.D.) from an accredited U.S. law school
- 3+ years of experience practicing law or teaching at a U.S.-based law school
Nice to Have
- Interest in AI and language models (LLMs)
Skills
AI
*
Large Language Models (LLMs)
*
* Required skills
About Turing
Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems, based in San Francisco, California.
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