Find the Right Data Labeling Company for Your AI

The directory of data labeling companies for AI

Building an AI model comes down to the quality of its training data, and most teams need a partner to label, annotate, or collect that data. This is an independent directory of the companies that do it, from platforms you run with your own team to managed workforces that handle the whole job. Every listing is an honest write-up with the data types a company handles, how the work is staffed, and a clear guide to who it fits. Browsing and comparing is free.

What is Data Labeling Companies?

Data Labeling Companies is an independent, curated directory of data labeling and annotation companies for AI and machine learning training data. Each listing is an honest editorial write-up covering what the company does, the data types it handles, its workforce model, pricing model, and who it is and is not a good fit for. Browsing and comparing is free.

Which data labeling company is best for AI training?

It depends on your data type and how you want the work staffed. For LLM and RLHF data, look at Scale AI and Surge AI. For computer vision (image and video), Encord and V7. For annotation platforms you run with your own team, Labelbox and SuperAnnotate. For a fully managed workforce, Appen. For autonomous vehicles, LiDAR and 3D sensor data, Deepen AI and Kognic. For programmatic text and document labeling, Snorkel AI.

How do I choose a data labeling company?

Match the vendor to four things: your data type (image, video, text, LiDAR, audio), whether you want software you run yourself or a managed workforce that does the labeling for you, your compliance needs (for example HIPAA or SOC 2), and your scale. Every listing spells out the workforce model and a best-for / not-ideal-for guide so you can shortlist quickly.

Is it free to use?

Yes. Browsing the directory and comparing companies is completely free for buyers. Data labeling companies can pay to list themselves.