I am a detail-oriented video data annotator with experience labeling AI training data for autonomous-driving projects. I draw bounding boxes around vehicles, pedestrians and road signs, review video frames for accuracy, and follow project guidelines closely. I am committed to consistent, high-quality annotation, and I ask for clarification whenever instructions are unclear.

Nafula Mary
@nafulamary
Detail-oriented video data annotator with hands-on experience at Remotasks (2018–2019) and CloudFactory (2023–2024) labeling AI training data for auto
Experience
Work history, roles, and key accomplishments
Video Data Annotation
CloudFactory
Jan 2023 - Dec 2024 (1 year 11 months)
Labeled AI training data for autonomous-driving projects, including vehicles, pedestrians, and road signs. Used bounding boxes to annotate vehicles and reviewed video frames for accuracy.
Video Data Annotation
Remotasks
Jan 2018 - Dec 2019 (1 year 11 months)
Annotated video data for AI training in autonomous-driving applications, applying bounding boxes to vehicles, pedestrians, and road signs. Reviewed video frames to ensure annotation accuracy and label consistency.
Education
Degrees, certifications, and relevant coursework
Jomo Kenyatta University of Agriculture and Technology
Bachelor of Science, Biochemistry
2019 - 2023
Pursued a Bachelor of Science in Biochemistry at Jomo Kenyatta University of Agriculture and Technology, completing the degree in 2023.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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