Assistant Research Scientist (PREP0003675) Part-time

Assistant Research Scientist

This project focuses on using Large Language Models (LLMs) to provide annotations of evaluation data (a.k.a., LLM as judge), and the design of an Inter-Annotator Agreement study to assess the reliability of both human and LLM annotations. The candidate will explore assessing the indicators of a given AI-related risk, determining how to identify them, and providing annotators with examples to annotate the presence of various risks. The project aims to develop an annotation framework for AI risk assessment and establish metrics for data quality in AI risk research, supporting broader work at NIST in assessing and measuring the validity and reliability of AI-related risks in data annotation.

Reliability of Human and LLM Annotations for AI Risk Assessment

Gain familiarity with existing literature on data annotation and LLM as judge

Understand NIST's role and ongoing efforts in assessing and measuring the validity and reliability of AI-related risks in data annotation

Contribute to developing an annotation framework for AI risk assessment

Collaborate effectively with cross-functional and interdisciplinary stakeholders to ensure successful project outcomes

Contributions to a NIST report that supports ongoing NIST AI evaluation efforts focused on the design of an Inter-Annotator Agreement to assess the reliability of both human and LLM annotations.

Background in Computer Science, Data Science, or related field.

Education level: undergraduate or graduate student

Strong interest in data annotation and AI risks

Familiarity with scientific reading and technical writing

Please upload the following with your application:

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The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.

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