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Freelancer Overview
I don't have professional experience on a dedicated AI training or data labeling team, but my project work has given me real exposure to the underlying skills. Building an NLP sentiment classifier required me to clean and categorize a 50,000-record dataset by hand before training — tokenizing text, removing noise, and ensuring label consistency. I've also done extensive exploratory data analysis for a machine learning regression project, which involved identifying bad or misleading data points before model training. I understand that good AI systems are built on good data, and I take that seriously — I'm careful, consistent, and comfortable spending time on the "boring" data quality work that most people rush through.