AI Assistant Response Evaluation & Action Labeling (Audio & Task-Based)
Evaluated and rated AI assistant audio and action-based responses to user requests by comparing multiple outputs and selecting the best response based on accuracy, clarity, task completion, and user intent. The work focused on determining whether the assistant’s spoken response and executed action were correct, helpful, and safe, contributing directly to improving AI assistant quality and reliability.