Data labeling & annotation · Labelbox, Inc.
Labelbox
Enterprise annotation and data-curation platform (Annotate, Catalog) that has expanded into RLHF and agent-training data services.
Labelbox's core is Annotate, a multimodal labeling platform with editors for computer vision, NLP, audio, geospatial and multimodal-chat/LLM evaluation tasks, paired with Catalog, a data-curation engine for finding and prioritizing the right examples to label. Beyond traditional annotation, Labelbox has expanded into reinforcement-learning and agent-training data — RL environments and preference-signal collection for post-training foundation models, plus managed workforce services that route tasks to subject-matter experts. It supports bringing your own labeling workforce or using Labelbox's managed one, with role-based review workflows and model-assisted pre-labeling to speed up throughput. It suits both teams building traditional computer-vision/NLP training sets and teams collecting human-feedback data for LLM and agent post-training.
At a glance
| Vendor | Labelbox, Inc. |
|---|---|
| Pricing model | Quote only |
| Free tier | Yes |
| Deployment | Cloud |
| Open source | No |
| Best for | Enterprise ML teams needing multimodal annotation plus a path into RLHF/agent-training data collection. |
Pricing
A free starter tier is offered; paid plans and managed workforce/RLHF services are quoted per team, contact sales.
Pricing has not been verified yet — see the vendor's site.
Features
- Multimodal annotation editors (vision, NLP, audio, geospatial, LLM chat)
- Catalog for data curation and example prioritization
- Model-assisted pre-labeling to speed up annotation
- RL environments and preference-signal collection for LLM post-training
- Managed expert workforce access for specialized tasks
- Role-based review and QA workflows
- API/SDK for pipeline integration
Integrations
Profile last reviewed September 21, 2026