Expert human data is now available to all, introducing the new Toloka Platform

A self-serve data annotation platform for fast, high-quality human judgement

If you’re building or evaluating AI systems, you already know the problem. You need human judgement to validate what a model is doing, but setting up a data collection workflow often takes longer than the experiment itself. By the time everything is in place, the question has moved on.

Toloka’s self-serve platform is designed for that moment. It’s a data annotation platform built for researchers, data scientists, and ML teams who want to run meaningful checks without turning every experiment into a drawn-out, long-lasting project.

Full control, right in your hands

We’ve removed the operational middlemen, giving you the power to configure, launch, and manage everything yourself. You no longer have to wait for a sales cycle or a project manager to translate your requirements. Instead, you get direct access to the same infrastructure trusted by the world's leading AI labs with the assistance of our trained Agent. .

How it works: From idea to high-quality data without the bottlenecks

The platform shifts how projects start: rather than working through operational setup first, you begin by describing the outcome you’re trying to achieve in plain language.

Five steps from brief to data

An AI agent acts as your project co-pilot, drawing on patterns from existing Toloka workflows to translate your brief into a structured pipeline with suggested expertise and quality rules. As the project runs, you can complete a small number of tasks yourself to calibrate the LLM-based quality checks to get a concrete feel for what “good” looks like. 

You get a clear sense of the effort and time required per task before you scale. That feedback flows back into the workflow, so quality improves as you iterate. And it all happens without restarting or handing control over to someone else.

Quality that scale

Once you’ve set the standard, the platform maintains it. Each task is evaluated against your approved rules using LLM-based checks. When results fall short, they are automatically routed for revision until they meet your bar. This allows you to verify quality as volume increases, with confidence grounded in the data itself.

The right experts, available in one click

Toloka provides instant access to a global network spanning more than 90 domains. The platform suggests the right level of expertise, but you retain the power to adjust the balance between speed and budget at any time:

• General Annotators: For high-volume labeling and classification.

• Trained AI Tutors: For complex model evaluation and RLHF.

• Domain Experts: Specialists in medicine, law, engineering, and more.

Designed for modern AI workflows

From assessing search relevance to transcribing audio, the platform supports the complexity of 2026's AI demands:

• Comparative Evaluations: Optimize ranking through side-by-side model comparisons.

• Multi-turn Evaluation: Assess responses across a sequence of steps rather than in isolation.

• Dataset-Aware Judgment: Allow evaluators to consider broader context rather than scoring items as standalone examples.

Predictable pricing and no commitments

Before you launch, you see a clear price and timeline estimate. There are no minimums or long-term contracts. Start with a small run to validate the workflow, then scale as needed. You stay in control of the budget from start to finish.