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Appen
Labelbox
Mercor
Scale AI
SuperAnnotate
Toloka
TelusNo subject matter listed
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VideoI am an experienced AI Data Annotator with a strong background in labeling and evaluating text, image, and video data for machine learning and AI model development. My expertise includes classification, tagging, sentiment analysis, pairwise comparison, and quality assurance across multiple data types. I have worked on remote data projects that required precision, consistency, and strict adherence to annotation guidelines to ensure high-quality training data. I am skilled at identifying semantic accuracy, contextual alignment, and tone consistency in content, which helps improve AI model understanding and performance. I’m highly organized, detail-oriented, and capable of managing large data volumes efficiently. With excellent communication skills and a commitment to quality, I bring both technical understanding and a passion for advancing AI through carefully labeled, human-verified data.
Tagged and categorized images for object, product, and scene recognition to support computer vision model training. Ensured visual consistency and semantic accuracy across all annotations.
Labeled and compared AI-generated conversational responses based on context, tone, and fluency. Helped enhance the model’s ability to produce coherent and natural dialogue through structured evaluations.
Annotated and evaluated text data to improve AI model accuracy and contextual understanding. Tasks included labeling conversational content, ranking AI-generated responses, and ensuring semantic accuracy and compliance with project guidelines.
Bachelor of Science, Business Education (Management Option)
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