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TextI am a detail-oriented professional with hands-on experience in data annotation, labeling, and AI model evaluation, particularly with large language models. My background includes reviewing and categorizing text data, evaluating AI-generated responses for accuracy and safety, and providing structured feedback to improve model outputs. I am skilled in following complex guidelines, maintaining high accuracy, and ensuring data quality through consistent quality assurance practices. I am comfortable working independently in remote environments, and I leverage tools such as Google Docs, Sheets, and various online research platforms to manage and process data efficiently. My strong analytical thinking, attention to detail, and commitment to data confidentiality make me well-suited for roles focused on AI training data, prompt evaluation, and content review.
Contributed to large-scale LLM training and evaluation projects focused on improving response quality, safety, and reasoning performance.
Bachelor of Science, Information Technology
Administrative / Research Assistant
