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Daniel Thompson Email: [email protected] | Phone: (555) 123-4567 | Location: New York, NY Professional Summary Detail-oriented Data Annotation Specialist with 4 years of experience in labeling and curating high-quality datasets for AI and machine learning models. Proven track record in computer vision, NLP, and multimodal data annotation with exceptional accuracy and efficiency. Professional Experience Senior Data Annotator June 2023 - Present Aperture AI, New York, NY • Led annotation teams on 15+ computer vision projects, delivering 150,000+ high-quality labels including bounding boxes, segmentation masks, and keypoints with 98.5% accuracy. • Implemented quality assurance protocols reducing error rates by 40% through peer review and automated validation. • Collaborated with ML engineers to refine labeling guidelines for complex multimodal datasets. Data Annotation Specialist January 2022 - May 2023 PixelSense Labs (Remote) • Annotated large-scale text and image datasets for NLP and CV models, processing over 80,000 data points. • Specialized in sentiment analysis labeling and object detection tasks using tools like Labelbox and CVAT. • Conducted data validation and maintained 97% consistency across annotation batches. Education Bachelor of Science in Computer Science May 2021 State University of New York, Albany, NY Relevant Coursework: Machine Learning, Data Structures, Computer Vision Skills • Data Annotation Tools: Labelbox, CVAT, Doccano, Snor