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Applied Scientist, Artificial General Intelligence, AGI Data Services

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Amazon Pforzheim GmbH

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Location:
United States of America , Boston

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Contract Type:
Employment contract

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Salary:

136000.00 - 184000.00 USD / Year

Job Description:

The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.

Job Responsibility:

  • Lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows
  • Design auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks
  • Perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities
  • Develop and maintain LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment
  • Set up the configuration of data collection workflows and communicate quality feedback to stakeholders

Requirements:

  • Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
  • Experience programming in Java, C++, Python or related language
  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Nice to have:

  • Experience implementing algorithms using both toolkits and self-developed code
  • Have publications at top-tier peer-reviewed conferences or journals
What we offer:
  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)

Additional Information:

Job Posted:
April 23, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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