data labelling/annotation experience
Labeled and categorized 50,000+ images for AI computer vision models. Tasks included identifying objects, bounding boxes, and tagging multiple attributes per image. Ensured high accuracy (98%+) for model training
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I am an experienced AI support professional with over four years specializing in data annotation, labeling, and AI training data evaluation. My background includes working on large-scale text and image datasets for machine learning models, where I consistently maintained high accuracy and quality standards. I have hands-on experience with major platforms like Appen and Amazon Mechanical Turk, where I evaluated AI outputs, provided structured feedback, and contributed to refining labeling guidelines. My strengths include attention to detail, strong remote collaboration skills, and the ability to manage high-volume, repetitive digital tasks efficiently. I am fluent in both English and Swahili, and I excel at adapting to new AI tools and workflows, always aiming to enhance model performance and data reliability.
Labeled and categorized 50,000+ images for AI computer vision models. Tasks included identifying objects, bounding boxes, and tagging multiple attributes per image. Ensured high accuracy (98%+) for model training
Bachelor Degree, Information Technology
Customer Service