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Join our team as an Archivist and contribute your archival subject matter expertise to cutting-edge Artificial Intelligence initiatives. In this role, you will leverage your knowledge of records management and historical documentation to train AI systems, shaping the future of digital knowledge preservation and research.
Job Responsibility:
Train, evaluate, and provide expert feedback to AI models on archival content, ensuring high-quality outputs
Appraise, edit, and direct the safekeeping of permanent records and historically valuable materials as part of AI training workflows
Collaborate with cross-functional teams to define data labeling and annotation requirements for AI learning purposes
Participate in research activities to enhance AI comprehension and application of archival methodologies
Curate and organize digital archival materials to support ongoing AI model development
Document training processes and provide recommendations for continuous model improvement
Serve as a subject matter expert, ensuring accuracy and authenticity in the AI’s understanding of archival concepts
Requirements:
Proven experience as an archivist, records manager, or in a closely related archival role (e.g., Digital Archivist, University Archivist)
Strong written and verbal communication skills, with a meticulous attention to detail
Demonstrated ability to appraise, organize, and preserve permanent records and historical documents
Familiarity with digital archiving standards, metadata schemas, and archival best practices
Comfort with remote collaboration tools and digital platforms
Keen analytical skills and a passion for accuracy in data management
Interest or experience in AI, machine learning, or digital transformation projects
Nice to have:
Hands-on experience with AI training, data annotation, or digital content management
Advanced degree in Library Science, Archival Studies, History, or related field
Experience participating in or leading research based on archival materials