Top 15 ML Data labeling and annotation startups in USA
Jan 12, 2026
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26
1
Funding: $15.9B
Scale AI is focused on data annotation for AI training and serves large tech companies like OpenAI, Google and Microsoft, which are developing large language models. It operates a distributed network of annotators and subcontractors via online platforms Remotasks and Outlier. The company also develops the "Scale Data Engine" platform for fine-tuning and reinforcement learning based on human feedback. Scale also has its own SEAL (Safety, Evaluations, Alignment Lab) research lab for evaluating and aligning AI models. At the exit it produces analytical reports on LLM performance, including quality metrics, safety and weaknesses. The company is 49% owned by Meta, that often raises concerns about independence, data leaks and client conflicts of interest.
Scale AI is focused on data annotation for AI training and serves large tech companies like OpenAI, Google and Microsoft, which are developing large language models. It operates a distributed network of annotators and subcontractors via online platforms Remotasks and Outlier. The company also develops the "Scale Data Engine" platform for fine-tuning and reinforcement learning based on human feedback. Scale also has its own SEAL (Safety, Evaluations, Alignment Lab) research lab for evaluating and aligning AI models. At the exit it produces analytical reports on LLM performance, including quality metrics, safety and weaknesses. The company is 49% owned by Meta, that often raises concerns about independence, data leaks and client conflicts of interest.
2
Funding: $235.3M
Snorkel is an AI data science lab that develops datasets, benchmarks and data evaluation methods to help AI learn, adapt and operate in enterprise systems. Snorkel Flow platform connects enterprise data streams with systems that run AI in production, enabling organizations to evaluate, develop and improve models and agents quickly and with high quality. Snorkel also provides data preparation and annotation services, AI model evaluation, agent/RAG diagnostics and dataset creation. The company leverages its network of experts to produce high-quality datasets for specialized, domain-specific tasks. However, because manual labeling and annotation of data is a slow, expensive process, Snorkel also utilizes software labeling technologies, enabling experts to encode domain knowledge into labeling features so that they can be applied to the entire dataset at once, rather than one data point at a time. Snorkel Flow then removes the noise and applies the most likely label(s) to each data point.
Snorkel is an AI data science lab that develops datasets, benchmarks and data evaluation methods to help AI learn, adapt and operate in enterprise systems. Snorkel Flow platform connects enterprise data streams with systems that run AI in production, enabling organizations to evaluate, develop and improve models and agents quickly and with high quality. Snorkel also provides data preparation and annotation services, AI model evaluation, agent/RAG diagnostics and dataset creation. The company leverages its network of experts to produce high-quality datasets for specialized, domain-specific tasks. However, because manual labeling and annotation of data is a slow, expensive process, Snorkel also utilizes software labeling technologies, enabling experts to encode domain knowledge into labeling features so that they can be applied to the entire dataset at once, rather than one data point at a time. Snorkel Flow then removes the noise and applies the most likely label(s) to each data point.
3
Funding: $41.6M
Micro1 helps AI development companies find and manage contractors for data labeling and training. Micro1 partners with leading AI labs, including Microsoft, who are seeking to improve large-scale language models using post-training and reinforcement learning. The company also helps evaluate enterprise AI agents for internal workflows, operations support, finance and industry-specific tasks - with the help of subject-matter experts. Micro1 also enables robotics pre-training, which requires high-quality, human-generated demonstrations of everyday physical tasks. It's building the world's largest robotics pre-training dataset by collecting demonstrations from hundreds of generalists who record interactions with objects in their homes.
Micro1 helps AI development companies find and manage contractors for data labeling and training. Micro1 partners with leading AI labs, including Microsoft, who are seeking to improve large-scale language models using post-training and reinforcement learning. The company also helps evaluate enterprise AI agents for internal workflows, operations support, finance and industry-specific tasks - with the help of subject-matter experts. Micro1 also enables robotics pre-training, which requires high-quality, human-generated demonstrations of everyday physical tasks. It's building the world's largest robotics pre-training dataset by collecting demonstrations from hundreds of generalists who record interactions with objects in their homes.
4
Funding: $30M
Heartex offers a data labeling and annotations tool for building accurate and smart AI products.
Heartex offers a data labeling and annotations tool for building accurate and smart AI products.
7
Funding: $1M
Enabled Intelligence specializes in AI-powered data labeling for classified systems. The company collaborates with the Department of Defense, National Geospatial-Intelligence Agency, CSHA, BAE Systems, Vantor and others. In particular, the company provides data labeling services, enabling AI and machine learning systems to separate objects in satellite imagery to identify targets of interest. Enabled Intelligence also develops own AI models for high-stakes applications, creates pre-labled libraries and datasets, provides LLM fine-tuning and testing services and annotates audio recordings in various languages.
Enabled Intelligence specializes in AI-powered data labeling for classified systems. The company collaborates with the Department of Defense, National Geospatial-Intelligence Agency, CSHA, BAE Systems, Vantor and others. In particular, the company provides data labeling services, enabling AI and machine learning systems to separate objects in satellite imagery to identify targets of interest. Enabled Intelligence also develops own AI models for high-stakes applications, creates pre-labled libraries and datasets, provides LLM fine-tuning and testing services and annotates audio recordings in various languages.
8
Funding: $100K
Labellerr's data labeling engine uses automated annotation, advanced analytics and smart QA to process million images and thousands hrs of videos in just few weeks.
Labellerr's data labeling engine uses automated annotation, advanced analytics and smart QA to process million images and thousands hrs of videos in just few weeks.
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Shaip is an end-to-end AI training data ecosystem that helps companies launch their most demanding AI initiatives.
10
Cogito is the industry leader in data labeling and annotation services to provide the training data sets for AI and machine learning model developments. All types of AI and ML services requires the training data for algorithms with next level of accuracy making AI possible into diverse fields like healthcare, gaming, agriculture, retail, automotive, robotics and security surveillance etc.
11
SunTec.AI is associated with clients belonging to a diverse set of industries and provides them with premium, data annotation services at competitive prices. Our work enables AI and machine learning business processes to have access to error-free and scalable so that they can improve their solutions and offer precise analysis and predictions. Our expert team of professionals can handle projects related to image annotation, sentiment analysis, intent variation, and so on. We thrive to deliver accurate, cost-efficient data labeling services with guaranteed data security and privacy
12
Sigma AI is a global training data collection, preparation and annotation services company. For companies building the next generation of AI, we provide the highest quality training data at scale, with a human touch.
13
Label Your Data offers secure, high-quality data annotation services for Computer Vision and NLP. Our expertise spans diverse industries (including military) and data types.
14
DataAnnotation Tech (a subsidiary of Surge AI) is a platform that specializes in recruiting more-or-less qualified experts to label data for training AI models remotely. Freelancers perform tasks such as image and video labeling, fact-checking and suggesting best responses for chatbots, audio transcription, writing text and code. Pay depends on the complexity of the task and starts at $20 per hour. The platform allows participants to choose projects and working hours. Before contractors can receive tasks, they must create account and complete screening tests. The platform is often associated with scam because freelancers sell their accounts or build a network of subcontractors to work through their own accounts.
15
Outlier is a platform operated by Scale AI that connects experts with leading AI companies to further train LLM models. Depending on their specialization, experts can create prompts, rank AI results, refine model responses, create complex tasks, develop response evaluation criteria, or perform other tasks that enhance AI performance. Available projects are diverse, and you can choose your area of expertise. Experts earn based on the number of hours they dedicate to the work, and they retain full control over their schedule with no minimum hours required. The startup partners with leading AI companies and research labs.
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