Implement human-in-the-loop review queue system

Overview

Build review queue for human moderators to review edge cases and improve models.

Features

• Priority queue based on confidence scores
• Review interface (web dashboard)
• Consensus voting (3 reviewers per item)
• Feedback loop to retrain models

Queue Management

• Items with confidence 0.4-0.6 go to review
• High-priority content (reported by users)
• Random sampling for quality assurance

Dashboard Features

• Item preview (text/image)
• Historical moderation decisions
• Moderator performance metrics
• Annotation tools

Integration

• Reviewer labels feed back to training pipeline
• Model performance tracking
• A/B testing new models on review queue

Tech Stack

• React frontend
• PostgreSQL for queue
• WebSockets for real-time updates

Acceptance Criteria

• Support 10+ concurrent reviewers
• Review 500+ items/hour throughput
• Consensus accuracy >98%
• Model retraining with reviewed data