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Freelancer Overview
I am an AI training and data annotation specialist with a strong foundation in psychology, behavioral research, and language analysis. Through my graduate-level academic work and applied research experience, I have developed proficiency in high-quality text labeling, qualitative coding, sentiment and emotion recognition, and evaluation of model outputs across diverse domains. My work often requires precise judgment, attention to nuance, and an understanding of complex human behavior—skills that translate directly into LLM evaluation, safety assessments, and prompt-response optimization. In addition to text-based annotation, I have experience with summarization, question answering, NER tagging, content classification, and red-teaming for bias, safety, and reliability. I frequently work in English and Mandarin, enabling cross-lingual evaluation and translation tasks. My background in mental health, public health, and interdisciplinary research allows me to contribute expert insight to projects involving clinical reasoning, user intent, and culturally informed analysis. I bring a detail-oriented, research-driven approach to all annotation tasks, ensuring accuracy, consistency, and high-quality model training data.
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