Toloka

What is Toloka?

Toloka provides Data Labeling & Annotation services and infrastructure for training, evaluating, and fine-tuning AI agents, large language models (LLMs), and vision-language models (VLMs). The company combines expert human input with technology-assisted data production to create training datasets, agent trajectories, preference data, and evaluation materials.

Key Capabilities

Agent training environments: Creates simulated environments and testbeds for training and evaluating agents that use browsers, files, applications, tools, and code repositories.
Training and preference data: Produces demonstrations, human feedback, preference rankings, and domain-specific datasets for agentic skills and advanced language models.
Evaluation and red teaming: Designs evaluations to assess agent performance, identify vulnerabilities, and test policy compliance and prompt-injection resilience.
Expert data production: Uses domain specialists to provide annotations, quality filtering, and structured feedback across text, image, video, audio, and programming data.

Product and Solution Areas

AI Agent Training & Evaluation Data: Agent trajectories, computer-use environments, tool-use workflows, and safety testing.
Creative AI Training and Evaluation Data: Human evaluation, multimedia content collection, annotation, and quality filtering.
Advanced LLM & VLM Datasets: Domain-specific demonstrations, preference data, and verified reinforcement-learning tasks.
Programming Data for AI Coding Assistants: Code-generation examples, repository data, and software-engineering workflows.
Toloka Arena: A model-comparison offering that lets teams assess how models rank on Toloka-provided evaluations.

Audience & Use Cases

Audience: AI research teams, machine-learning engineers, AI-safety teams, and organizations developing enterprise AI agents.
Use Case: Supports the creation and evaluation of coding assistants, computer-use agents, conversational agents, corporate assistants, research agents, and AI systems that require expert-validated training data.