The RL data factory
Scaled production of environments and knowledge work rubrics. We craft and develop each dataset to the highest quality standards, tuned for precise reward signal gradients.
Why Labelbox for RL data
Purpose-built infrastructure for reinforcement learning datasets.
Across modalities
Text, code, math, vision, audio, and multimodal reasoning. We cover the full spectrum of data types your models need.
Expert-crafted rubrics
Human-defined scoring criteria for subjective tasks. Fine-grained feedback that captures nuance, clarity, and helpfulness.
Structured environments
Feedback loops, solvers, and verifiers. Automated checks for complex, multi-step outputs with programmatic verification.
What the RL data factory produces
From pre-training to post-training, we generate data across the full model lifecycle.
Knowledge work rubrics
Fine-grained feedback on reasoning, clarity, accuracy, and depth across domains like law, medicine, finance, and science.
Environments
Automated reward signals for tasks where correctness can be programmatically verified — math, code, formal reasoning.
Computer use
Web navigation, application control, file management, and multi-step desktop workflows.
Experimental
We partner with labs to develop novel data types as new methods emerge — from process supervision to constitutional AI.
How it works
Scope
Define your data requirements: modalities, domains, volume, and quality criteria. We design the rubrics and workflows.
Generate
We produce knowledge work grounded in realistic environments, tuned to your desired reward gradients.
Deliver
Delivered in dockerized containers or custom formats. Ready to plug into your training pipeline.