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High-quality human expert data. Now accessible for all on Toloka Platform.

90+ domains for your AI data on demand. The AI‑guided setup and always-on LLM Quality Assurance (QA) of Toloka get you started in minutes.

Trusted by Leading AI Teams

Iterate and experiment faster with Toloka Platform and its AI Assistant

Built for AI teams who ship

RLHF & Preference Data

Train reward models with expert-ranked responses and multi-turn dialogues.

RLHF & Preference Data

Train reward models with expert-ranked responses and multi-turn dialogues.

Instruction Tuning

Generate and validate prompt-completion pairs across domains and languages.

Instruction Tuning

Generate and validate prompt-completion pairs across domains and languages.

Model Evaluation

Run side-by-side or pointwise evals with domain experts to catch regressions.

Model Evaluation

Run side-by-side or pointwise evals with domain experts to catch regressions.

Synthetic Data Validation

Verify LLM-generated training data for factuality and guideline compliance.

Synthetic Data Validation

Verify LLM-generated training data for factuality and guideline compliance.

Data Enrichment

Add metadata, sentiment, or entity tags to unstructured text and media.

Data Enrichment

Add metadata, sentiment, or entity tags to unstructured text and media.

Content Moderation QA

Audit your moderation stack with specialist reviewers and ground-truth labels.

Content Moderation QA

Audit your moderation stack with specialist reviewers and ground-truth labels.

Five steps from brief to data

Task description

Describe your task in natural language and share your dataset. Explain your goal and quality expectations. Our AI agent trained on years of projects translates your needs into a full project.

Project setup with AI assistance

AI Builds Quality-First Configuration The agent creates a complete project setup focused on quality (Quality requirements, Expert guidelines, Experts UI). You review each component and approve—the agent explains every recommendation.

Review & launch

Try yourself a couple of tasks to validate or refine your setup.

Work begins

Experts label; LLM QA validates every output. Your feedback trains the LLM QA system, with the AI assistant suggesting improvements for your next project.

Download results

Your data is ready. What are you waiting for?

AI-Assisted Project Workflow Steps: five-step process detailing how a user can initiate and complete a project utilizing an artificial intelligence assistant for data tasks. The initial phases involve the user defining the project through clarifying questions posed by the AI, followed immediately by receiving an instant estimate covering the required cost and timeline. After setup, the user is prompted to review and launch the project, validating the configuration before full implementation begins. The core work then proceeds, where human experts label data while LLM quality assurance (QA) validates the output, ensuring that any feedback is captured for future refinement. The final step informs the client that they can then download results, indicating the prepared data is fully ready for deployment.

Read the full documentation

Your project co-pilot

The AI assistant designs your task, suggests the right expertise tier, and configures the QA process for you.

Decomposes complex briefs into parallel tasks

Recommends optimal tier mix and sample sizes

Adapts instructions based on rework patterns

Suggests improvements from your feedback and knowledge from previous Toloka projects

The right experts for every task

Automatic expert selection from three tiers to balance quality, speed, and cost.

Domain Experts

Specialists in law, medicine, finance, science, and 90+ domains.

Used for:

Complex reasoning or domain knowledge

Sensitive content or regulated fields

High-stakes model evals

AI Tutors

RLHF annotators trained on your guidelines and rubrics.

Used for:

RLHF preference labeling

Instruction tuning datasets

Multi-step reasoning tasks

General Annotators

Scalable generalist for high-volume work.

Used for:

Image classification

Simple text categorization

Speed-critical launches

Quality Assurance without any engineering required

Toloka AI Assistant works with you to align requirements with our LLM QA system before launch, ensuring clarity from the start. Throughout the labeling and generation process, the tuned LLM QA continuously maintains quality, iterating based on your feedback.

Predictable cost, no surprises

You see a price suggestion before you launch based on task complexity, expertise tier, and volume. Then you can tailor it to your needs to influence speed, quality, and competitiveness within the marketplace.

No minimums, no long-term contracts.

Try now with your project

Compliance & trust

SOC 2 Type II

GDPR compliant

ISO 27001 certified

Enterprise SLAs available

FAQ

What are the ideal tasks for Toloka?

How much does Toloka cost?

How does the quality assurance process work?

Why is user quality calibration within a project’s setup important?

How quickly can I get results?

What makes the expert tiers different?

Do I need technical experience to use Toloka?

When will Toloka be available?

What if I need additional / tech support?

Is there any onboarding required?

How can I pay for my projects?

Trusted by Leading AI Teams

Start your first project today

No sales calls. No minimums.
Enterprise quality, impressive speed.

Prefer data services managed for you? Our team will work with you to find the option that best suits your needs.

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