LLM Interaction Designer / AI Trainer (Data Labeling-Oriented Work)
Designed and structured conversational flows for AI assistants in multi-turn interaction settings. Crafted diverse user–assistant dialogues to train large language models in real-world behavior simulation. Developed and tested function-calling logic using JSON-based invocation patterns for tool and task automation. • Created realistic scheduling, search, and task automation prompts • Applied logical reasoning to choose between tool usage and natural language replies • Designed edge-case scenarios to test AI assistant limitations • Focused on improving LLM response reliability and accuracy