Shape AI-powered knowledge retrieval through content structure, metadata, and taxonomy design at Miratech. Information Scientists support Genesys Cloud AI solutions for accurate discovery.
This Information Scientist position addresses how content is classified, structured, reviewed, and retrieved by AI-powered systems. You will establish standards, lifecycle rules, and tagging guidance while assessing retrieval quality. The role also involves collaboration with the Senior PS Consultant and recommendations for client content teams.
Key Responsibilities: Design audience-specific content classification and tagging rules
Define semantic and AI-powered retrieval requirements
Establish content review processes and lifecycle standards
Evaluate AI retrieval quality during proofs of concept




Collaborate with the Senior PS Consultant on guidelines
Requirements: Five-plus years in taxonomy, metadata modelling, or information science
Experience structuring content for virtual agents or AI search
Knowledge of information architecture and retrieval relationships
Ability to translate findings into practical recommendations
Eligibility for Canadian government security clearance
Use taxonomy, metadata, and content-structuring expertise to strengthen AI-powered knowledge retrieval through Miratech's Genesys Cloud work.

#J-18808-Ljbffr

📌 AI Knowledge Retrieval Scientist (Alberta)
🏢 Miratech
📍 Alberta