A resilient and hardworking registered criminologist with a deep passion for public service and community welfare. I am a detail-oriented and disciplined professional with strong analytical skills shaped by my criminology background and hands-on internships in various government agencies. I also have practical experience in data annotation through Remotasks, where I worked on 3D LiDAR and 2D image labeling tasks with accuracy and consistency. These experiences strengthened my ability to follow structured guidelines, manage repetitive tasks efficiently, and maintain high-quality outputs. I am eager to bring these strengths to a data annotation role, contributing precise and reliable labeling to support AI and machine learning systems.
Experience: 2 - 5 years
Experience: 1 - 2 years
process of adding metadata or labels to 3D video content to identify, track, and categorize objects or features within the video. This technology is widely used in fields such as computer vision, machine learning, augmented reality (AR), autonomous driving, and robotics, where precise object recognition and spatial awareness are essential. In 3D video annotation, each frame or scene in a video is analyzed and enhanced with 3D coordinates, bounding boxes, labels, and keypoints to accurately depict objects in three-dimensional space. Unlike traditional 2D annotation, which only considers height and width, 3D annotation involves depth and spatial orientation, providing more detailed and context-rich information.
Experience: 2 - 5 years
Experience: 1 - 2 years
Experience: 2 - 5 years
Experience: 6 months - 1 year
Experience: 2 - 5 years
“It definitely helped transform my business and take a significant load off for me.”
Samori Coles
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