Assistant Research Scientist; PREP

Overview

PREP Research Associate

Project Description 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.

The Research Title is:
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.

• Number of Positions: 1.
• The details of the work arrangement can be discussed and agreed upon, but the position is expected to be primarily telework-based, with some in-person meetings at NIST s Gaithersburg campus as needed.
• Average Hours Per Week: 20.

Please upload the following with your application:

• CV/Resume (Please limit CV to 3 pages and include a valid email address for contact.)
• Self portraits
• Phone number
• Home address/Country
• Citizenship status
• Languages spoken
• Sex/Gender
• Privacy Act Statement
• Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
• Purpose:
  
  The National Institute for Standards and Technology (NIST) hosts the 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.
• PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
• Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements.
• Disclosure:
  Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use the information you submit for the stated purpose.
• To apply for this position, visit:
• Salary Range
• The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University s good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors.
• Total Rewards
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• Equal Opportunity Employer
• The…