Assistant Research Scientist (PREP0003673) - #Faculty
- Johns Hopkins University
- Gaithersburg, Maryland
- Part Time
PREP Research Associate
Project Description
This project focuses on documenting the Assessing Risks and Impacts of AI (ARIA) dataset, which is used to evaluate risks as part of a NIST ARIA Program. The student will assist in the design and development of a comprehensive dataset card aligned with emerging standards for AI, including the principles of transparency, reliability, and reproducibility. This work supports the advancement of rigorous, standardized data documentation practices consistent with federal and international frameworks.
Research Title
AI Dataset Documentation
Key Responsibilities
+ Collaborate with AI researchers to develop a dataset card documenting the technical and operational parameters of datasets used in AI evaluations and emerging AI standards.
+ Identify and describe the dataset's technical parameters, including intended use, limitations, collection methods, and risk-relevant features.
+ Conduct quality assurance checks to detect anomalies, inconsistencies, and completeness issues in the dataset.
+ Assist in the preparation of the dataset for public release, including metadata curation, file organization, and access provisioning.
+ Apply and assess data anonymization techniques to ensure privacy compliance and mitigate re-identification risks.
Deliverables
+ A dataset card following relevant documentation standards.
+ A finalized version of the dataset curated for public release, with accompanying metadata.
+ A report summarizing identified data limitations, anonymization procedures applied, and mitigation strategies for potential risks.
+ A checklist-based audit log of quality assurance checks performed.
+ Background in Data Science, Computer Science, Information Science, HCI, or a related field.
+ Education level: graduate student
+ Familiarity with dataset documentation standards and risk assessment frameworks (e.g., NIST AI Risk Management Framework)
+ Strong written communication skills for technical documentation.
Salary: $20-$30 per hour
Please upload the following with your application:
- CV/Resume
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
- 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 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.
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 of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
Job Type: Part Time
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more:
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
Project Description
This project focuses on documenting the Assessing Risks and Impacts of AI (ARIA) dataset, which is used to evaluate risks as part of a NIST ARIA Program. The student will assist in the design and development of a comprehensive dataset card aligned with emerging standards for AI, including the principles of transparency, reliability, and reproducibility. This work supports the advancement of rigorous, standardized data documentation practices consistent with federal and international frameworks.
Research Title
AI Dataset Documentation
Key Responsibilities
+ Collaborate with AI researchers to develop a dataset card documenting the technical and operational parameters of datasets used in AI evaluations and emerging AI standards.
+ Identify and describe the dataset's technical parameters, including intended use, limitations, collection methods, and risk-relevant features.
+ Conduct quality assurance checks to detect anomalies, inconsistencies, and completeness issues in the dataset.
+ Assist in the preparation of the dataset for public release, including metadata curation, file organization, and access provisioning.
+ Apply and assess data anonymization techniques to ensure privacy compliance and mitigate re-identification risks.
Deliverables
+ A dataset card following relevant documentation standards.
+ A finalized version of the dataset curated for public release, with accompanying metadata.
+ A report summarizing identified data limitations, anonymization procedures applied, and mitigation strategies for potential risks.
+ A checklist-based audit log of quality assurance checks performed.
+ Background in Data Science, Computer Science, Information Science, HCI, or a related field.
+ Education level: graduate student
+ Familiarity with dataset documentation standards and risk assessment frameworks (e.g., NIST AI Risk Management Framework)
+ Strong written communication skills for technical documentation.
Salary: $20-$30 per hour
Please upload the following with your application:
- CV/Resume
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
- 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 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.
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 of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
Job Type: Part Time
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more:
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
Job ID: 487342683
Originally Posted on: 7/30/2025
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