Skill

Data Labeling & Annotation

Data Science, Analytics and AI/ML

Data labeling and annotation is the process of tagging raw data—such as images, text, or audio—with informative labels so that machine learning models can learn from it during supervised training. Annotators and data teams mark objects in images, categorize text sentiment, or transcribe speech to create high-quality training datasets. This work is foundational to computer vision, natural language processing, and other AI applications, and is often performed with specialized tools or crowdsourced labor.

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• Machine Learning
• Natural Language Processing
• Computer Vision
• Supervised Learning