What Data Types Does Labelbox Support For Annotation?

Labelbox supports images, video, text, audio, PDFs, documents, geospatial tiles, and conversational data. Each modality has a purpose-built editor with specialized tools like bounding boxes, polygons, semantic segmentation, NER, temporal classifications, and multimodal chat interfaces.

How Does Model-Assisted Labeling Work In Labelbox?

Labelbox Foundry provides pre-loaded frontier models that generate pre-annotations on your data. Labelers then review and correct these predictions instead of annotating from scratch, significantly accelerating throughput while maintaining quality through human oversight.

What Is The Labelbox Multimodal Chat Evaluation Editor?

The multimodal chat editor enables live or offline evaluation of LLMs. You can compare up to 10 models in a chat arena, capture human preference judgments, perform step-by-step reasoning analysis, and generate rubric-based scores across text, code, vision, and audio tasks.

How Does Labelbox Handle Reinforcement Learning Data Generation?

Labelbox delivers RLHF and reinforcement learning data through expert-crafted scoring rubrics, preference pairs, and reward signals. The Alignerr network provides domain specialists across coding, science, finance, and more to produce high-quality post-training data at scale.

Can Labelbox Integrate With Existing ML Pipelines And Cloud Storage?

Yes. Labelbox offers a Python SDK, GraphQL API, and native integrations with 25+ data sources including AWS S3, Google Cloud Storage, and Azure Blob. You can use delegated access or signed URLs to keep data in your own cloud environment without transferring assets.

Labelbox

Name: Labelbox
Availability: InStock
Author: Labelbox Inc

by Labelbox Inc • San Francisco, CA, USA • Founded 2018

The Data Factory Powering Frontier AI Model Training

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What is Labelbox?

Labelbox is an AI data factory platform used by over 80% of leading AI labs in the US. It provides enterprise-grade tools for data annotation, model evaluation, and reinforcement learning data generation across text, image, video, and audio modalities.

The platform combines advanced labeling editors, built-in AI automation with model-assisted labeling and LLM-as-a-judge, real-time quality assurance analytics, and a multimodal chat arena for head-to-head model comparisons. Through its Alignerr expert network of 1.5M+ knowledge workers including 50K+ PhDs, Labelbox delivers specialized training data for post-training and RLHF workflows at scale.

Labelbox Demo Video

Key Features 8

Reinforcement Learning Data Factory With Expert-Crafted Rubrics at Scale

Multimodal Data Labeling for Image, Video, Audio, Text, and Geospatial

Private AGI Benchmarks and Arena-Style Model Evaluation Leaderboards

Alignerr Expert Network With 1.5M+ Knowledge Workers Across 200+ Domains

Full-Stack Robotics Data Collection With AI-Powered Diversity Steering

AI Agent Training and Trajectory Evaluation via Multimodal Chat Editor

Integrated VS Code IDE for High-Quality Coding Data Generation

RLHF, SFT, and Preference Ranking for Frontier LLM Post-Training

Who Is Labelbox For

1 ML Engineers Building Training Datasets

2 AI Researchers Running Model Evaluations

3 Data Science Teams Curating Annotation Pipelines

Pros & Cons

Pros 4 benefits

Powerful Multimodal Annotation Editors
1.5M+ Expert Labeler Network
Generous Free Tier Included
Monthly Platform Release Cadence

Cons 3 limitations

Steep Learning Curve Initially
Usage-Based Pricing Complexity
Enterprise Features Require Upgrade

Frequently Asked Questions

5 questions

Trusted Reviews

Verified Platforms

4.5 G2 (48) 3.0 Trustpilot (3)

What's New

monthly

Custom Roles Filters And Audio Transcription In Editors April 2026

Added compatible permission filters for custom roles and audio transcription support directly within the video and audio editors for global and temporal text classifications.

Apr 6

AI Critic And Auto-Generated Rubrics In Multimodal Chat March 2026

Introduced natural language AI critic for auto-critiquing elements before submission, AI-generated rubrics from task instructions, and upgraded video editor to Meta SAM3 for auto-segmentation.

Mar 4

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User Base

50K+ users

Active Users

Security & Privacy

Google Cloud Platform (Customer choice for asset hosting)

SOC 2 Type II GDPR Compliant ISO 27001 CCPA Compliant HIPAA (Add-on)

End-to-end encryption (AES-256 at rest, TLSv1.2+ in transit) Auth0-based authentication SSO/SAML support Role-based access control (RBAC) with custom roles Delegated access for customer-hosted cloud assets