Training Data in United States
11 verified training data companies headquartered in United States, drawn from the same independently maintained directory as the rest of the site.
Alegion
Alegion specializes in high-quality data annotation services, including video, image, and text data for machine learning applications. The …
Deccan AI
Take your models to the next level with truly pristine data—at scale and with speed. We provide exceptional …
Labelbox
Labelbox provides a unified platform for AI data labeling, curation, and evaluation, enabling teams to create high-quality training …
Lionbridge AI
Lionbridge is a translation and localization expert that has expanded into AI training data services over 25 years. …
Sama
Sama provides high-quality data annotation and validation services for AI and machine learning, specializing in ethical, scalable solutions …
Samasource
Samasource is a social enterprise that delivers high-quality training data while employing underserved communities. The company specializes in …
Scale AI
Scale AI provides data infrastructure and high-quality training data to accelerate the development of artificial intelligence systems across …
Snorkel AI
Snorkel AI provides a data-centric AI platform that enables enterprises to programmatically build and manage training data. The …
SuperAnnotate
SuperAnnotate provides an end-to-end platform for creating, managing, and evaluating high-quality training data for AI, with integrated annotation …
Tasq.ai
Tasq.ai is a managed workforce platform for AI training data that provides scalable data annotation and labeling services. …
iMerit
iMerit is a leading AI data solutions company providing high-quality data annotation and enrichment services for computer vision, …
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Training Data in other countries
Training Data in United States at a glance
Counts below come straight from the directory's own records. Fields a company hasn't disclosed are reported as unknown rather than estimated.
Choosing Training Data companies in United States
This page covers the 11 training data companies in this directory that are headquartered in United States. That is 39% of the 28 training data companies tracked across every country, which makes United States the largest of the 6 national clusters in this category. Headquarters location matters for buyers who need contracting in a local legal entity, data residency inside United States, or overlapping working hours with an in-country delivery team — so the list below is filtered on stated headquarters, not on sales presence or reseller coverage.
Company size varies widely across the United States cohort. Of the 11 companies here that publish a headcount range: 6 in the 51-200 band, 1 in the 201-500 band, 1 in the 501-1000 band, 3 in the 1000+ band. The most common profile is 51-200 employees (6 companies), which is a useful signal when you are weighing a boutique training data team that will give you senior attention against a larger firm that can absorb a multi-workstream programme. Headcount bands are self-reported and are left blank rather than estimated for the 0 companies that do not disclose one.
Founding dates are known for 5 of the 11 United States companies and run from 2008 to 2018 — a 10-year spread that puts pre-deep-learning consultancies and companies founded after the generative-AI wave in the same shortlist. That gap is worth checking directly: an older firm in this list is more likely to bring existing enterprise delivery process, while a newer one is more likely to have been built around modern model tooling from day one.
Several of these United States companies are not training data pure-plays. Counting the other directory categories the same companies appear in: AI Defense (1), AI Platforms (1), Machine Learning Platforms (1). If you would rather consolidate work with one supplier than run several, those overlaps show which United States providers already do adjacent work — and which are single-category specialists.
Contracting notes specific to United States suppliers. There is still no single federal omnibus privacy statute — the American Privacy Rights Act expired without a vote at the end of the 118th Congress — so obligations come from the states instead. Twenty states now have comprehensive consumer privacy laws in effect, with Indiana, Kentucky and Rhode Island's taking effect on 1 January 2026; California's CCPA as amended by the CPRA remains the broadest and the only one carrying even a limited private right of action. Sectoral rules layer on top of that: HIPAA where the work touches health data, GLBA where it touches consumer financial data, and FedRAMP authorisation where the buyer is a federal agency. The practical question to put to a United States vendor is which specific state regimes its standard data processing agreement is already mapped to, and in which states or regions the processing and any sub-processing physically happens.
Every entry is drawn from the same independently maintained training data directory as the rest of the site. Placement is not sold, the order is alphabetical rather than ranked, and the listing is not auto-scraped. Where a field is unknown it is shown as unknown rather than filled with a guess, so you can see exactly how much is on the record for each United States provider before you contact them.
Prefer to compare without the country filter? Browse the full Training Data directory or the wider AI company directory.
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