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Explore 5 Data Labeling & Annotation Services entities audited against our 19-year editorial standard. We provide structured data and human-reviewed insights to separate high-authority providers from unverified search results.
5 verified providers operate across 5 listed Data Labeling & Annotation Services entities, audited against our 19 year editorial standard.
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Sydney, AustraliaAppen is an Australian publicly traded AI data services company providing human-annotated training data to the worlds largest technology companies. With over 1 million skilled contractors across 170 countries, Appen delivers data annotation, collection, and evaluation in 235+ languages for search, NLP, and computer vision models.
Authority Score
San Francisco, United StatesHealth 59/100Scale AI is the dominant AI data infrastructure company valued at $29 billion, providing data labeling, RLHF (reinforcement learning from human feedback), red-teaming, and model evaluation to every major AI lab and Fortune 500 enterprise. With $2 billion in projected 2026 revenue and 400+ enterprise clients, Scale powers the training pipelines behind frontier AI models.
San Francisco, United StatesHealth 59/100Labelbox is a training data platform for machine learning backed by $189 million in funding from Andreessen Horowitz and Softbank. The platform provides collaborative data labeling, model-assisted annotation, and data management for computer vision, NLP, and generative AI projects across automotive, healthcare, and government.
San Francisco, United StatesHealth 59/100Surge AI is a data labeling platform built specifically for NLP and large language model training, providing expert human annotation for tasks including RLHF, instruction tuning, red-teaming, and content moderation. The platform uses a curated workforce of English-fluent annotators with domain expertise rather than crowdsourced labor.
San Francisco, United StatesHealth 59/100Hive is a cloud-based AI company providing pre-trained AI models and data labeling services for content moderation, visual search, and document understanding. Valued at $2 billion with $121 million in funding from General Catalyst and 8VC, Hive serves enterprises needing production-ready AI without building models from scratch.
San Francisco · United States
Hive is a cloud-based AI company providing pre-trained AI models and data labeling services for content moderation, visual search, and document understanding. Valued at $2 billion with $121 million in funding from General Catalyst and 8VC, Hive serves enterprises needing production-ready AI without building models…
Sydney · Australia
Appen is an Australian publicly traded AI data services company providing human-annotated training data to the worlds largest technology companies. With over 1 million skilled contractors across 170 countries, Appen delivers data annotation, collection, and evaluation in 235+ languages for search, NLP, and computer…
San Francisco · United States
Scale AI is the dominant AI data infrastructure company valued at $29 billion, providing data labeling, RLHF (reinforcement learning from human feedback), red-teaming, and model evaluation to every major AI lab and Fortune 500 enterprise. With $2 billion in projected 2026 revenue and 400+ enterprise clients, Scale…
San Francisco · United States
Surge AI is a data labeling platform built specifically for NLP and large language model training, providing expert human annotation for tasks including RLHF, instruction tuning, red-teaming, and content moderation. The platform uses a curated workforce of English-fluent annotators with domain expertise rather than…
San Francisco · United States
Labelbox is a training data platform for machine learning backed by $189 million in funding from Andreessen Horowitz and Softbank. The platform provides collaborative data labeling, model-assisted annotation, and data management for computer vision, NLP, and generative AI projects across automotive, healthcare, and…
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