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Sina Weldu

@sinaweldu

AI Data Annotator working on computer vision training data, with video labels maintained above 98% accuracy.

Uganda
Message

I review and annotate video clips and visual datasets for computer vision model training, applying frame-by-frame labels, object tracking, and bounding boxes in line with project guidelines. My quality checks maintained label accuracy above 98%.

I also organized video, image, and text assets and checked metadata accuracy as a Digital Content & Data Assistant. I used Microsoft Excel for structured data entry and validation.

Experience

Work history, roles, and key accomplishments

FR
Current

AI Data Annotator / Video Labeling Specialist

Freelance

Jan 2024 - Present (2 years 9 months)

Reviewed, categorized, and annotated thousands of video clips and visual datasets to support Computer Vision model training. Applied frame-by-frame labeling, object tracking, and spatial bounding boxes in strict compliance with project annotation guidelines.

Education

Degrees, certifications, and relevant coursework

Makerere University Business School logoMS

Makerere University Business School

Bachelor of Commerce, Commerce

Pursuing a Bachelor of Commerce degree at Makerere University Business School in Kampala, Uganda.

Tech stack

Software and tools used professionally

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