AI Training / Data Annotation Practitioner (Project-Based & Self-Directed Workflows)
Conducted AI data annotation and training using Chinese NLP rubrics for intent labeling and text classification tasks. Evaluated model outputs for answer relevance, response completeness, tone, safety, and factual consistency while tracking edge cases and applying quality checks. • Applied rubric-based labeling for Chinese intent and classification • Assessed LLM response attributes (relevance, completeness, tone, safety, factuality) • Mapped user-support and knowledge-base questions to intents with confidence thresholds • Flagged recurring errors using structured templates and spreadsheets for feedback loops