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Freelancer Overview
I have hands on experience evaluating and testing AI generated outputs across healthcare and business automation contexts. Working with tools like Claude and n8n, I have assessed conversational AI responses for accuracy, instruction following, tone, and clinical relevance, providing structured feedback that mirrors the core work of AI data labeling and model evaluation. My background in clinical documentation as a Registered Nurse has sharpened my ability to identify errors, flag inconsistencies, and apply precise, rubric-based judgment to complex content. What sets me apart is my dual expertise in healthcare and AI. I bring domain specific knowledge in medical terminology, patient communication, and evidence-based reasoning areas where accurate annotation and evaluation require more than general literacy. Combined with my experience building and QA testing AI chatbots and workflows, I am equipped to contribute high quality, clinically informed labels and evaluations across healthcare datasets, conversational AI, and instruction following tasks.