Work closely with ML engineers, data scientists, product managers, and engineering teams to improve
Translate legal tasks, documents, workflows, and user expectations into clear requirements for AI
Define what “good” looks like for legal AI outputs, including accuracy, completeness, grounding
Review and evaluate model outputs across use cases such as case summarization, document analysis
Create and maintain evaluation rubrics, golden answers, annotation guidelines, failure-mode
Partner with data annotation teams to design review workflows, calibrate reviewers, resolve

🎯 Requirements

Strong communication and writing skills in English
JD or equivalent legal training
Experience in a law firm, legal department, government legal office, or legal operations environment
Ability to evaluate legal content carefully
Identify missing context or inaccuracies in AI output
Explain why an AI output is or is not useful to a legal professional

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