Labelbox
Free tierThe data factory for AI teams — powering the world's most ambitious AI labs
Free tier available·All audiences·API available
Key strengths
Trusted by 90%+ of leading US AI labs for post-training dataAlignerr network of 2.6M+ expert knowledge workers across 40+ countriesFull-stack robotics data including video, trajectories, and multimodal annotationsCustom private AGI benchmarks and frontier model evaluationsApplied research team publishing at top venues like NeurIPS and CVPR
Free tier + paid plans
San Francisco, USA
Founded 2018
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Technical Getting Started
Labelbox provides a robust API and SDK for integrating data labeling and evaluation workflows into your ML pipelines. Developers can programmatically create projects, import datasets, configure ontologies, and export annotations via the Labelbox Python SDK or REST API.
Key technical capabilities:
- RL Data Pipelines: Generate reward signals, preference pairs, and RLHF datasets with expert-crafted rubrics tuned for coding, science, finance, and other high-value domains.
- Custom Eval Frameworks: Define rubric-based multimodal evaluations with structured scoring across text, vision, and reasoning — suitable for private pre-release benchmarking and arena-style head-to-head comparisons.
- Robotics Data Engine: Ingest video, trajectories, and rich multimodal annotations; leverage AI-powered diversity tools to ensure broad task and environment coverage.
- Alignerr API Access: Programmatically dispatch tasks to credentialed domain experts across 200+ fields, with configurable quality workflows and consensus mechanisms.
- Model Leaderboard Integration: Connect evaluation results to Labelbox's research-grade leaderboard infrastructure to track model performance over time.