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iMeritTelusScale AICloudFactoryNo subject matter listed
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VideoI am a skilled data annotator with over five years of hands-on experience working on diverse annotation projects for computer vision and speech-related AI systems. My background includes tagging, labeling, and attributing text, image, audio, and video data, with a strong focus on accuracy and consistency. I have extensive experience using web-based annotation platforms, including CVAT-like tools, to perform object labeling, bounding boxes, spatial labeling, and object tracking—especially in domains such as sports footage and sponsorship detection. I am highly adaptable to new workflows, excel at following complex guidelines, and consistently meet productivity and quality benchmarks in both independent and collaborative remote environments. My attention to detail and commitment to delivering high-quality, model-ready data make me a reliable contributor to any AI training data team.
Search for images on the web and on social media using a specified prompt, identify clothing items and accessories, and drawing bounding boxes
Evaluation of two images in parallel against a prompt. I was required to assess which Image was worse and select a reason from a dropdown of pre-defined reasons
• Conducted object tracking and spatial labeling in sports footage (players, ball movement, positioning) • Tagged and labeled visual sponsorship placements across image and video datasets
Participated in a lidar semantic segmentation project. Annotation involved tagging and labelling video frames and images of different streets in 3-D format for training self-driving cars.
Bachelor of Arts, Spatial Planning
Certificate, Computer Packages
Executive Virtual Assistant
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