Strongest fit
Who it is built for
- AI teams creating frontier-model training data
- Organizations evaluating and improving AI models
- Teams that need expert human labeling services
Labelbox
Data factory for training and evaluating AI models
Labelbox is a platform and labeling service for creating high-quality training and evaluation data for AI systems. Teams can manage multimodal datasets, configure annotation projects, use expert labelers, and run workflows for RLHF, model evaluation, fine-tuning, and agent tasks.
LALabelboxProduct screenshot pending
- Best for
- AI teams creating frontier-model training data
- Pricing signal
- $0
- Primary category
- Data labeling
- Last verified
- Jul 30, 2026
The decision
Should Labelbox make your shortlist?
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Practical use cases
Jobs it can take on
- Annotate image, video, text, audio, document, and conversational data
- Create preference data for reinforcement learning from human feedback
- Run expert labeling projects for model evaluation and red teaming
Before you choose
Know the tradeoffs
- Free accounts include 500 Labelbox Units each month.
- After reaching the free account limit, users cannot add data rows, labels, or predictions until the next billing period.
- Foundry inference and labeling services can incur charges separate from a platform subscription.
Inside the product
What you can actually do with it.
The core product capabilities, grouped around the work they enable.
Multimodal data annotation
Labelbox provides built-in editors for multimodal chat, LLM evaluation, prompt and response generation, computer vision, natural language processing, and other data types.
Expert labeling services
Organizations can request on-demand labeling teams for tasks including RLHF, supervised fine-tuning, preference ranking, model evaluation, coding, and red teaming.
Model-assisted workflows
Labelbox Foundry integrates foundational models into labeling workflows to predict labels and enrich data.
Typical workflow
Teams import or connect datasets, create a project for the required data modality, and configure an ontology and labeling instructions. They can annotate with an internal team, their own vendor, or Labelbox labeling services, then use the resulting data to train and evaluate models.
Plans and official links
Plans and access$0.
See the entry price, free access options, company details, and direct vendor destinations in one place.
Starting point$0
Free plan
- Provider
- Labelbox
- Based in
- US
- Founded
- 2018
Official destinations
Choosing for a real workflow?
Make the tool work with the rest of your operation.
We map the workflow, connect existing systems, choose what to buy, and build what is missing.