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CVAT
HiveMind
Labelbox
Label Studio
Scale AI
SuperAnnotateNo subject matter listed
Audio
Image
VideoI’m a multidisciplinary creative professional with 15+ years of experience in photography, retouching, and visual content development, now specializing in AI data annotation and training. I’ve worked on image classification, bounding boxes, segmentation, and prompt evaluation tasks using tools like CVAT, Labelbox, and Scale AI. My deep understanding of visual consistency, lighting, composition, and subject categorization allows me to bring precision and accuracy to AI training workflows. My background in working with high-end fashion and lifestyle brands has sharpened my eye for detail and taught me to work with speed, consistency, and independence — qualities that translate seamlessly into annotation work. I’ve delivered high-volume projects with strong QA pass rates and am comfortable working in remote, asynchronous teams. I’m especially drawn to tasks that combine creative judgment with structured data labeling.
Reviewed and evaluated AI-generated responses to prompts, assessing accuracy, clarity, creativity, and appropriateness. Labeled tone, intent, and relevance for NLP model training and fine-tuning.
Annotated high-resolution product and lifestyle imagery for fashion brands, focusing on image classification, bounding boxes, and polygon segmentation. Tasks included applying multi-label tags for style, category, and visual features. Maintained high consistency and QA pass rates while using tools such as CVAT, Labelbox, and internal platforms to deliver accurate and scalable datasets.
Labeled thousands of editorial and lifestyle images with tags describing mood, composition, framing, lighting, and subject focus. Contributed to dataset development for an AI curation engine.
Bachelor's Degree, Photography & Audiovisual Arts
Visual Data Contributor
Retoucher & Digital Content Specialist
