Staff Data Scientist, Research, AI Data Intelligence
نظرة عامة على الوظيفة
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تاريخ الإعلانفبراير 14, 2026
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الموقع
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تاريخ إنتهاء الصلاحية--
المسمى الوظيفي
2026-02-13T11:00:58.906Z
76398352618398406
Minimum qualifications:
- 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.
Preferred qualifications:
- 10 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of experience with a PhD degree.
About the job
Imagine being at the core of the AI revolution, where your expertise directly fuels the most advanced Large Language Models. We are the driving team behind high-quality data – the essential ingredient for unlocking unprecedented AI breakthroughs. Partner with the brightest minds, define data excellence, and make a tangible impact on the future of intelligent systems.The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
المسؤوليات
- 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 DeepMind).
- Develop new methodologies to improve the performance of Google’s models through better training data, including data collection, and insights.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
