University of California, Berkeley
Bachelor of Arts, Cognitive Science
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I am a detail-oriented Data Labeling Specialist with over 3 years of hands-on experience preparing high-quality training datasets for machine learning applications. My expertise spans image annotation, NLP tagging, and audio transcription, with a proven track record of improving model accuracy through precise labeling and robust quality control protocols. I am highly skilled in industry-standard tools such as Labelbox, Scale AI, Amazon SageMaker Ground Truth, and Prodigy, and have led annotation teams for complex projects in domains like autonomous vehicles, medical imaging, and sentiment analysis. My work includes developing QC frameworks that reduced label errors by 25%, designing annotation schemas for computer vision research, and conducting bias audits on large-scale facial recognition datasets. I am passionate about collaborating with ML engineers to refine data requirements and ensure that datasets are both accurate and representative, consistently achieving top-rated status for speed, accuracy, and reliability.
Chris S. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Bachelor of Arts, Cognitive Science
Senior Data Labeling Specialist