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Data Annotation Tech
CVAT
ImageNo task types listed
I currently work as a Search Quality Analyst at RWS, where I evaluate and rate search results and AI-generated outputs using structured guidelines. This involves consistent classification and relevance judgments across large datasets, requiring attention to detail and adherence to strict labeling rules used in AI training workflows. In addition, I perform image segmentation and dataset organization as part of my commercial photography and licensing workflow. This includes using Photoshop to isolate subjects from backgrounds to create clean PNG assets, as well as labeling and organizing image sets with structured attributes such as subject type, composition, lighting, color, and usage category. These processes involve precise visual classification and boundary definition similar to manual annotation tasks used in computer vision data preparation.
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SegmentationA curated set of floral still life images designed for instance segmentation tasks. Subjects include individual botanical elements such as petals, flowers, and stems designed for precise boundary annotation and mask creation.
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Evaluation/RatingEvaluated image and text-based search results for relevance, quality, and guideline adherence. Assessed visual clarity, contextual accuracy, and consistency in AI training data. Provided structured ratings and objective justifications to support dataset quality control.
Search Quality Analyst
Owner & Creative Director
