Data Annotation/Labeling
Annotation and classification of text data based on subject matter to improve performance Ensured high quality annotation by following project guidelines Applying quality labeling to improve performance
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I am an experienced AI trainer and data annotator with a strong background in evaluating AI model outputs, providing structured feedback, labeling, recording speech data and delivering high-quality multimodal annotations. My expertise includes identifying inconsistencies, factual errors, and logical flaws in AI-generated content, as well as conducting response evaluations and preference ranking to improve model accuracy. I am proficient with workflow automation tools like Zapier, Monday.com, and Google Workspace, which enables me to streamline annotation processes and manage remote projects efficiently. With a proven track record in remote, fast-paced environments, I am committed to delivering precise data labeling and human feedback to enhance AI systems, particularly in natural language processing and digital content domains.
Annotation and classification of text data based on subject matter to improve performance Ensured high quality annotation by following project guidelines Applying quality labeling to improve performance
Master of Arts, Peace and Conflict Studies
Bachelor of Arts, Communication and Language Arts
AI Evaluator/ Labeling
AI Annotation / Trainer