Data Labeling project
Labeling of documents and audio interviews for case management, project management, and evaluation.
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I have hands-on experience contributing to AI training and data quality efforts that require high levels of precision, contextual judgment, and strict adherence to protocols. This includes working with AI-supported tools in court settings, where I collected, labeled, and analyzed highly sensitive data, ensuring accuracy, confidentiality, and ethical handling at all times. I have also supported the use of AI tools deployed across the United Nations system for large-scale sentiment analysis and global information monitoring, working with complex, multilingual datasets and nuanced classifications. What sets me apart is my ability to operate at the intersection of data rigor and human judgment. With a background in research, monitoring and evaluation, and human-centered design, I bring strong skills in data annotation, quality control, bias detection, and documentation. I am comfortable working with ambiguity, edge cases, and evolving guidelines, and I approach AI training work with a strong ethical lens, attention to detail, and an understanding of the real-world implications of high-stakes data systems.
Labeling of documents and audio interviews for case management, project management, and evaluation.
Master of Arts, Development Studies (Gender, Human Rights and Conflict)
Bachelor of Arts, Arts
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