I am a detail-oriented data annotator and image/video editor with hands-on experience delivering high-quality training datasets for machine learning and computer vision projects. I have worked across multiple global AI data platforms, handling image labeling, bounding box annotation, semantic segmentation, video frame tagging, and visual quality assurance. I bring strong attention to consistency and an ability to meet tight turnaround requirements without cutting corners on accuracy. My background spans both creative visual editing and structured data labeling, which gives me a practical understanding of what makes annotated data actually useful to the teams building AI models. I understand the importance of visual diversity in datasets and always label content with that consideration in mind. My combined background in annotation and video editing means I can contribute meaningfully across both collection and labeling phases of a project. I am comfortable working independently, following structured briefs and flagging ambiguity rather than guessing, which keeps dataset quality high. Working across multiple global platforms has given me experience adapting to different annotation tools, style guides and quality standards quickly.…I am a detail-oriented data annotator and image/video editor with hands-on experience delivering high-quality training datasets for machine learning and computer vision projects. I have worked across multiple global AI data platforms, handling image labeling, bounding box annotation, semantic segmentation, video frame tagging, and visual quality assurance. I bring strong attention to consistency and an ability to meet tight turnaround requirements without cutting corners on accuracy. My background spans both creative visual editing and structured data labeling, which gives me a practical understanding of what makes annotated data actually useful to the teams building AI models. I understand the importance of visual diversity in datasets and always label content with that consideration in mind. My combined background in annotation and video editing means I can contribute meaningfully across both collection and labeling phases of a project. I am comfortable working independently, following structured briefs and flagging ambiguity rather than guessing, which keeps dataset quality high. Working across multiple global platforms has given me experience adapting to different annotation tools, style guides and quality standards quickly.WWWW…