Note: The job is a remote job and is open to candidates in USA. HistoryIT helps organizations preserve, organize, and share their most important historical assets. They are seeking an AI Operations Analyst to drive transformation by evaluating and improving AI-assisted production systems and workflows across the company.
Responsibilities
- Become deeply familiar with HistoryIT's production workflows
- Learn how collections are processed from intake through final delivery
- Understand existing AI-assisted workflows and quality processes
- Participate directly in production activities to understand workflow realities
- Evaluate AI-generated outputs and identify patterns of success and failure
- Test prompts, workflows, and automation approaches
- Analyze workflow bottlenecks and improvement opportunities
- Help design and refine AI-assisted production systems
- Develop recommendations for increasing efficiency and quality
- Create and maintain workflow documentation
- Develop standard operating procedures and training materials
- Help establish performance metrics and quality benchmarks
- Track workflow performance and improvement results
- Support rollout and adoption of new processes
- Collaborate closely with Services, Software Development, and Leadership teams
- Translate operational challenges into actionable improvements
- Participate in testing and validation of new workflows and systems
- Help ensure successful implementation of new tools and processes
Skills
- Strong understanding of AI tools and modern AI workflows
- Exceptional systems-thinking and problem-solving abilities
- Experience analyzing, improving, documenting, or managing processes
- Strong organizational skills and attention to detail
- Excellent written communication skills
- Comfort working with data, spreadsheets, and structured information
- Ability to learn complex workflows quickly
- Ability to work independently in a fast-moving environment
- Bachelor's degree in business, Computer Science, Information Systems, Data Analytics, or Engineering
- Experience with workflow automation
- Experience evaluating AI-generated outputs
- Experience with quality assurance or quality systems
- Experience building documentation, SOPs, or training materials
- Experience working in operations, process improvement, data operations, product operations, or similar environments
- Experience working with digital assets, media collections, content management systems, or large datasets
- Familiarity with archival, library, museum, nonprofit, sports, or educational environments
Company Overview