Be a distinct contributor, with a particular focus on Human Data Collection for Large Language Models (LLMs) and address complex data science problems.

Design and deploy novel data acquisition and quality improvement techniques for foundational models.

Utilize AI models and tools as integral components for evaluating, synthesizing, and understanding complex datasets.

Act as a critical technical partner, collaborating closely with Research, Engineering, and Product teams (Cloud AI Data and Google Deep Mind).

Develop new methodologies to improve the performance of Google's models through better training data, including data collection, and insights.

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.

8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.