Archivist
Job in
Austin, Travis County, Texas, 78716, USA
Listed on 2026-02-16
Listing for:
micro1
Full Time
position Listed on 2026-02-16
Job specializations:
-
Education / Teaching
Information Science, Artificial Intelligence, Data Scientist
Job Description & How to Apply Below
Overview
Job Title:
Archivist
Job Type: AI Training, Archival Expertise
Location:
Remote
Join our customer’s 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.
Responsibilities- 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.
Skills and Qualifications
- 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- Demonstrated ability to appraise, organize, and preserve permanent records and historical documents.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.
- 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.
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