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This role involves training advanced AI models to understand and apply U.S. law by evaluating complex legal hypotheticals and refining their ability to reason like attorneys. The position is at the intersection of software engineering, open-source ecosystems, and frontier AI.
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 to define new benchmarks for legal understanding in AI
- Provide clear, consistent annotations and detailed feedback to improve model fine-tuning and legal reasoning capabilities
Requirements
- Juris Doctor (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 (contracts, torts, criminal law, constitutional law, corporate law, 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
*
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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