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TextI have hands-on experience in data annotation for machine learning projects, including labeling and organizing UN documents for research at the University of Arizona. My background in law and international relations, combined with technical skills in Python and R for Data Science, allows me to approach data labeling with strong attention to detail and an understanding of complex, multilingual datasets. I am fluent in Spanish and English, and have basic proficiency in German and Dutch, which supports my ability to work on diverse and international data projects. My experience also includes web scraping and content analysis for academic research, and I am passionate about ensuring high-quality, accurate training data for AI applications.
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Bachelor of Law and International Relations, Law and International Relations
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