Project Uomo
I transcribed data from video to text and summarized; labelled healthcare and political news during covid breakout.
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I have solid experience in data labeling and AI training data work, where accuracy, consistency, and focus matter most. My background in data entry and structured research has trained me to handle large volumes of information carefully—tagging, categorizing, validating, and correcting data while strictly following guidelines. I’m comfortable with repetitive tasks, spotting errors, and maintaining quality across datasets without losing speed or precision. What sets me apart is strong comprehension and judgment. With experience in legal and regulatory research, I understand nuance, context, and why “almost correct” data can break models. I work well independently, meet deadlines, adapt quickly to new labeling rules, and treat training data as critical infrastructure—not busywork, but the backbone of reliable AI systems.
I transcribed data from video to text and summarized; labelled healthcare and political news during covid breakout.
Barrister at Law, Law
Bachelor of Laws, Law
Legal Research Analyst
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