AI Risk Annotation Researcher (Human & LLM)

Johns Hopkins University; Gaithersburg (MD); On-site; USD 65,000 - 85,000; Full time

Benefits offered by this job

Total rewards package supporting health and career

Opportunity for collaboration with NIST

Job summary

Johns Hopkins University is looking for a PREP Research Associate in Gaithersburg, Maryland. The role involves supporting NIST research on AI risk assessment using Large Language Models. Candidates will contribute to an annotation framework and collaborate with interdisciplinary teams.

A Bachelor's or Graduate Degree in Computer Science or related field is required, along with a strong interest in data annotation and AI risks. Additional health and safety protocols including vaccination requirements are in place.

Qualifications

• Background in Computer Science, Data Science, or related field.
• Education level: Bachelor's or Graduate Degree.
• Strong interest in data annotation and AI risks.
• Familiarity with scientific reading and technical writing.

Responsibilities

• Familiarize with literature on data annotation and LLM.
• Understand NIST's role in AI-related risks assessment.
• Contribute to developing an annotation framework.
• Collaborate with cross-functional stakeholders.

Skills

Background in Computer Science

Data Science knowledge

Interest in data annotation

Familiarity with scientific reading

Education

Bachelor's or Graduate Degree

Job description

Johns Hopkins University is looking for a PREP Research Associate in Gaithersburg, Maryland. The role involves supporting NIST research on AI risk assessment using Large Language Models. Candidates will contribute to an annotation framework and collaborate with interdisciplinary teams.

A Bachelor's or Graduate Degree in Computer Science or related field is required, along with a strong interest in data annotation and AI risks. Additional health and safety protocols including vaccination requirements are in place.