Hi, I’m Francess Imade, a dedicated and detail-oriented Data Annotator with hands-on expertise in curating, labeling, and validating datasets for AI and machine learning models. I work across multiple annotation types, image, video, audio, and text—applying bounding boxes, semantic segmentation, and named entity recognition. I have strong experience with annotation tools, metadata enrichment, and quality control to deliver accurate datasets that improve model performance.
I bring a solid foundation in administrative support, customer service, and cybersecurity, enabling adaptability and reliability in fast-paced projects. I collaborate effectively with global teams and meet strict guidelines and deadlines across multiple platforms.
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