An AI data labeling platform is software that helps teams annotate raw data so it can be used to train, fine-tune, or evaluate AI models. It supports different data types, including images, video, text, audio, and sensor data, with tools for applying labels, reviewing annotations, managing datasets, and maintaining consistent quality.
For example, a computer-vision team can use the platform to identify vehicles and pedestrians in images, while an NLP project might classify customer messages by intent or sentiment. Advanced platforms can accelerate this work through AI-assisted labeling, automated quality checks, consensus review, and annotation workflows. Related technologies include data annotation, supervised learning, computer vision, and machine learning.
