Data Labeling - Remotask (
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Data Labeling (Remotask). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotask and Remotasks. AI-training focus includes data types such as Image and labeling workflows including Bounding Box, Segmentation, and Classification.
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Completed data labeling and annotation tasks for image, video, and text datasets on the Remotask platform, strictly following project guidelines to ensure consistency and quality. Applied bounding boxes, segmentation, classification, and transcription-related workflows to prepare labeled training data for machine learning model development. Participated in QA feedback loops to correct errors, improve annotation accuracy, and increase annotation throughput. • Labeled visual data using bounding boxes and segmentation-style annotations • Produced classifications and transcription outputs to support downstream ML tasks • Followed detailed task instructions and maintained consistent labeling standards • Implemented peer-review and QA correction feedback to raise quality
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Data Labeling