Legal Data Strategy Lead for AI & LLMs

Google LLC

New York, Mountain View (NY, CA)

On-site

USD 207,000 - 300,000

Full time

42 hours ago
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Bonus target 20%
Benefits

Job summary

Google DeepMind seeks a Share Legal Expert Lead to shape the data strategy for the Legal domain within Gemini Data. You will map complex Legal workflows, identify model enhancement areas, and curate high-quality data to make Gemini the premier AI assistant for legal professionals.

Role requires JD/LLM or equivalent, experience with evaluating LLMs in legal contexts, and strong programming/data-science capabilities to assist cross-functional partners in deploying safe, scalable AI.

Qualifications

  • JD/LLM or equivalent practical experience.
  • Experience measuring LLM performance for legal use cases.
  • Strong technical capabilities including programming and evaluating ML models.

Responsibilities

  • Set the Legal data strategy by mapping workflows into a use-case taxonomy and partnering with research to prioritize capabilities and sourcing pipelines.
  • Create high-quality Legal data by designing tasks and rubrics and QA-ing datasets from vendors, customers, and synthetic pipelines.
  • Steer data priorities using model failures by reproducing losses and stress-testing to identify missing legal knowledge.
  • Build Legal evaluations by assessing industry benchmarks and advising cross-team evaluation efforts on legal coverage.
  • Scale expertise by recruiting SMEs and converting expert contributions into usable training data.

Skills

Legal AI expertise
ML model evaluation
Programming proficiency
Cross-functional collaboration
Domain knowledge bridging law and AI

Education

Juris Doctor (JD) or LLM

Job description

Google DeepMind seeks a Share Legal Expert Lead to shape the data strategy for the Legal domain within Gemini Data. You will map complex Legal workflows, identify model enhancement areas, and curate high-quality data to make Gemini the premier AI assistant for legal professionals.

Role requires JD/LLM or equivalent, experience with evaluating LLMs in legal contexts, and strong programming/data-science capabilities to assist cross-functional partners in deploying safe, scalable AI.

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