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Freelancer Overview
Detail-oriented Data Annotator and Entry-Level Data Analyst with experience supporting AI and machine learning projects through high-quality data labeling, validation, and analysis. Skilled in text annotation, Named Entity Recognition (NER), data classification, and quality assurance while strictly following project guidelines and accuracy benchmarks. Brings strong analytical thinking, attention to detail, and consistency to large datasets, with hands-on experience reviewing text, image, and structured data. Comfortable working with web-based annotation tools, spreadsheets, and basic programming concepts to clean, organize, and evaluate data. Background in healthcare support enhances accuracy when handling sensitive information, structured documentation, and compliance-focused tasks. Reliable, fast-learning, and capable of meeting productivity targets while maintaining high-quality output in remote, guideline-driven environments.
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Samuel D. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
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