Designed and deployed a centralized web-based knowledge hub that consolidated training materials, evaluation guidelines, onboarding resources, and operational documentation for distributed AI evaluation teams.
AI evaluation teams relied on documentation spread across multiple sources, including guidelines, examples, training materials, and project updates. This fragmentation created inconsistencies in interpretation, slowed onboarding, and contributed to calibration variance across quality analysts.
Built and launched an internal web-based knowledge hub that consolidated operational knowledge into a single source of truth. The platform centralized evaluation guidelines, onboarding documentation, reference examples, and project updates, improving accessibility and consistency across teams.
Improved calibration alignment from approximately 70% to 90% across 26 Quality Analysts within one month and reduced information fragmentation across multiple AI evaluation projects.
Improved calibration alignment from approximately 70% to 90% across 26 Quality Analysts within one month and reduced information fragmentation across multiple AI evaluation projects.