Assistant Research Scientist (PREP0003674)

General Description

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.

Research Title

Reliability of Human and LLM Annotations for AI Risk Assessment

Key Responsibilities

• 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

Deliverables

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.

Qualifications 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

Application Instructions Please upload the following with your application :

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 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.

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.

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To apply for this position, visit : apply.interfolio.com / 171263

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, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education / training and other factors, as reasonably determined by the University.

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The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.

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The successful candidate(s) for this position will be subject to a pre-employment background check including education verification.

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Vaccine Requirements

Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the seasonal flu vaccine . Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit https : / / www.hopkinsmedicine.org / coronavirus / covid-19-vaccine / and all other JHU applicants should visit https : / / covidinfo.jhu.edu / health-safety / covid-vaccination-information / .

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