Toloka is a crowdsourcing platform that helps businesses create and improve AI by assigning simple human tasks like data labeling, content review, and evaluation. It is built for collecting high-quality human feedback at scale, which is useful when AI systems need real people to check, sort, or judge data.
Key Features
Human-in-the-loop data annotation for text, images, audio, and video.
Global contributor network for scaling large task volumes.
AI training and evaluation support, including benchmarking and red-teaming.
Mobile access for annotators to manage and complete tasks on the go.
Use Cases
Training machine learning models with labeled data.
Evaluating search results, content quality, or response relevance.
Supporting AI safety work such as model evaluation and red-teaming.