Organizations by Tag: Data-Labeling Services and Teams for Dataset Annotation, Quality Control, and ML Training
Discover organizations tagged with data-labeling that provide dataset annotation, quality-control workflows, and scalable labeling operations for computer vision, NLP, and audio ML projects. This searchable list of organizations filtered by the tags pillar highlights vendors, open-source teams, and in-house groups specializing in data-labeling services, active learning integration, and annotation tooling such as Labelbox, Scale AI, CVAT, and Label Studio, plus best practices for label schema design, inter-annotator agreement, and label quality metrics. Use the filtering UI to compare providers by task type, industry, pricing model, tooling integrations, and SLA, then evaluate case studies, onboarding processes, and API-driven pipelines to accelerate model training. Explore these data-labeling organizations now to shortlist partners, benchmark performance, and improve dataset reliability for production ML systems.
