AI Annotations Research Scientist (Risk Assessment)

Johns Hopkins University; Baltimore (MD); On-site; USD 55,000 - 75,000; Full time

Benefits offered by this job

Comprehensive health and retirement benefits

Career development support

Job summary

Johns Hopkins University is seeking a PREP Research Associate to support research on human and LLM annotations for AI risk assessment. The successful candidate will collaborate across functions to develop an annotation framework aimed at assessing AI risks.

The ideal candidate should have a background in Computer Science or Data Science, possess a Bachelor’s or Graduate degree, and show strong interest in data annotation. This position offers rewarding opportunities within a supportive environment.

Qualifications

• Bachelor's or Graduate degree in a related field is required.
• Experience or coursework in data annotation and AI risk assessment.
• Ability to collaborate with diverse stakeholders.

Responsibilities

• Familiarize with literature on data annotation and LLMs.
• Contribute to developing an annotation framework.
• Collaborate with interdisciplinary stakeholders for project success.

Skills

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

Strong interest in data annotation and AI risks

Familiarity with scientific reading and technical writing

Education

Bachelor's degree or Graduate degree

Job description

Johns Hopkins University is seeking a PREP Research Associate to support research on human and LLM annotations for AI risk assessment. The successful candidate will collaborate across functions to develop an annotation framework aimed at assessing AI risks.

The ideal candidate should have a background in Computer Science or Data Science, possess a Bachelor’s or Graduate degree, and show strong interest in data annotation. This position offers rewarding opportunities within a supportive environment.