AI Research, Ethics and Readiness Internship
New
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NPRMultimedia Journalism
Remotely from a location of your choosing within the United States that is supported by NPR, Monday-Friday, during daytime working hours.Full-TimeEntry
Salary20 USD per hour
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Job Details
- Required Skills
- Data AnalysisMachine LearningGitHubNLPGenerative AI
Requirements
- Must be a current student in an accredited degree program or a recent graduate of no more than 12 months
- Demonstrated ability to experiment, evaluate and work with generative AI tools and technologies
- Familiarity with Natural Language Processing and Machine Learning techniques
- Knowledge of archiving and metadata management best practices
- Analytical skills to extract narrative leads and opportunities from historical data
- Familiarity with code repositories and version control systems, such as GitHub
- Demonstrated ability to work independently and manage projects with attention to detail
- Excellent written and verbal communication skills
- Collaborative mindset for working effectively in a remote, cross-functional team
Responsibilities
- Identify opportunities and build functional prototypes that enable reporters and producers to query historical audio for contemporary reporting
- Assist in the development of automated workflows to transform unstructured legacy media into a searchable, AI-indexed library
- Contribute to the delivery of a technical blueprint demonstrating how NPR can effectively revitalize dormant audio assets for new podcasts or digital series
- Analyze historical data troves to surface evergreen content opportunities and extract narrative leads that support contemporary reporting
- Evaluate AI outputs and discovery tools for accuracy and bias to ensure technical prototypes maintain archival integrity
- Act as a cross-functional partner between AI Labs and the RAD team to ensure editorial utility in all AI-driven prototypes
- Identify and prepare strategic components of our digital newsmagazine and podcast collections for experimentation with machine learning
- Assist in the development of effective data structures and preparation methods, documentation, and standards for ethical AI use
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