I am a detail-oriented AI Data Annotation Technician with hands-on experience annotating and reviewing image datasets for machine learning applications. I have worked with polygon, bounding box, and segmentation labeling using tools such as CVAT and FastLabel, with a strong eye for guideline compliance and delivering high-quality labeled data.
I earned a Bachelor’s degree in Information Technology in 2025 and have collaborated with international teams, meeting daily and weekly annotation quotas. I also contributed to pallet annotation projects for Toyota Industries using FastLabel, and previously supported digital marketing campaigns as a Marketing Coordinator in Kigali, contributing to client coordination and relationship management.
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At Ready to Bloom, I worked on data annotation projects involving wooden (post) and plastic (PLA) pallets. My role was to accurately label and classify pallets in images for AI training purposes. I followed detailed project guidelines, ensured high accuracy, and performed self-quality checks before submission. The work required strong attention to detail, consistency, and the ability to meet daily production targets while maintaining quality.
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