Labelbox is the data factory for generative AI, providing the highest quality training data for frontier and task-specific models. Labelbox’s comprehensive platform combines on-demand labeling services with our industry-leading data labeling platform.

​
Data labeling solutions

Labelbox offers a comprehensive labeling service that rapidly delivers labeled data with real-time feedback, built-in automation, and quality control. Powered by the Alignerr community of highly educated experts proficient in major languages and advanced subjects, the labeling service excels in critical post-training and GenAI tasks, such as:
  • Reinforcement Learning with Human Feedback (RLHF)
  • Supervised fine-tuning (SFT)
  • Multimodal LLM evaluation
  • Preference ranking
  • LLM chat arena
  • Red teaming
  • Text-to-image, video, and audio tasks
  • Coding and AI agent tasks
Labelbox provides expert labeling in over 30+ languages and is capable of more regional and domain-specific languages upon request. To learn more about how to set up labeling services, see Labeling services.

​
An all-in-one platform

Labelbox’s unified platform allows you to manage the entire AI model lifecycle, from data labeling to model training and post-training tasks. Begin with annotating datasets using Labelbox’s tools, or opt for expert labeling services when necessary. From there, you can use foundational model-assisted features to automate the labeling and training process and collaboration tools to team-wide review and alignment.

​
Annotate labels

Collaboratively annotate data with the internal team, your own vendor, or Labelbox data labeling services. Labelbox Annotate supports 10+ built-in editors for multimodal chat, LLM evaluation, prompt/response generation, computer vision, natural language processing, and more. To get stared with Annotate:

Set up labeling project

Set up ontology (task design)

Import ground truth annotations

​
Train and evaluate models for RLHF

Generate preference data to fine-tune large language models for RLHF using outputs from one or more foundational models. Labelbox Foundry integrates foundational models into your Labelbox workflow. To learn more about how to leverage foundational models on Labelbox, see Foundry.

​
Catalog datasets

Integrate data from 25+ different cloud sources or your own data solutions within a unified, and intuitive interface. Turn data into insight and action with vector & traditional search, data exploration, and curation. To get stared with Catalog:

Create a dataset

Bulk Classification

Data curation

​
Monitor and manage teams

Monitor labeling project and workforce performance with metric filters to identify your top performers, including your own team members and the labeling service professionals. To learn more about available tools and user roles, see Team management.

​
Run and test custom models

Add your custom models to run labeling tasks and training experiments to diagnose and quickly improve their performance. To get started with Model:

Overview

Import model predictions for model error analysis

Model error analysis