Labeling / annotation
Labeling / annotation covers platforms where people label data for training.
In brief
Labeling / annotation, in brief.
What it isLabeling / annotation covers platforms where people label data for training.
Where it sitsOne of 12 categories in the Data layer. Data is what models learn from and read: datasets, labelling services, document parsing, synthetic data, and the pipelines and databases that carry data into AI applications.
What we track40 products, including Amazon Mechanical Turk, Amazon SageMaker Ground Truth, Appen, Argilla (part of Hugging Face) and BasicAI.
The products
40 products in Labeling / annotation.
Each name opens a search for that product in our index.
ProductMakerIts own site
From our census of 2026-11-08. A product listed here is one that belongs in this category; the search answer says whether we have checked it.
Questions
Labeling / annotation, answered.
What is Labeling / annotation in AI infrastructure?Labeling / annotation covers platforms where people label data for training.
Which layer of AI infrastructure is Labeling / annotation in?Labeling / annotation is in the Data layer. Data is what models learn from and read: datasets, labelling services, document parsing, synthetic data, and the pipelines and databases that carry data into AI applications.
Which products are in Labeling / annotation?We track 40 products in Labeling / annotation, including Amazon Mechanical Turk, Amazon SageMaker Ground Truth, Appen, Argilla (part of Hugging Face), BasicAI, Centific (OneForma), CloudFactory and CVAT. The full list is on this page.
Data
The other categories in Data.
AI training data licensing marketplacesData & model version controlData catalogs and governance for AIData pipelines for AIData quality and curationDatasetsDocument parsing / OCRMultimodal data lakes & AI-native data formatsOperational databases for AI apps & agentsPII redaction and data privacy for AISynthetic data