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.

Harerimana Umulkheri

5.0 (1 review)

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.

Available to hire

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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Language

English
Fluent
French
Beginner
Swahili
Beginner

Work Experience

AI Data Annotator at Ready to Bloom Inc. (Japan-based)
January 1, 2025 - November 1, 2025
Annotated and reviewed image datasets for AI and machine learning projects; performed letter and character recognition tasks involving bounding boxes and OCR labeling; conducted pallet annotation projects for Toyota Industries using FastLabel focusing on precise segmentation; followed detailed guidelines and conducted self-quality checks to ensure accuracy; collaborated with an international team and met daily and weekly annotation quotas.
Marketing Coordinator at Balaji Tours & Travels
September 1, 2023 - December 1, 2023
Supported digital marketing campaigns and content management; improved customer engagement through clear communication and service; assisted in client coordination and relationship management.

Education

Bachelor of Science in Information Technology at University of Kigali, Rwanda
January 11, 2030 - January 1, 2025

Qualifications

AICE Certificate
January 1, 2023 - January 1, 2023
Full Stack Software Engineering Certificate
January 11, 2030 - January 12, 2026
AICE Certificate
January 1, 2023 - January 1, 2023
Full Stack Software Engineering Certificate
January 11, 2030 - January 12, 2026

Industry Experience

Media & Entertainment, Software & Internet, Professional Services, Education, Other
    paper toyota-industries-corporation post-pallet and pla-pallet

    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.