Tool overview
Toloka is listed under AI Governance Safety & Evaluation AI tools.
What is Toloka?
Toloka provides expert-curated data, annotation, red teaming, and human evaluation for AI agents and models. Customers can use a self-service platform and API with prepaid task fees or engage Toloka for managed projects priced to scope and quality requirements.
Best for
AI teams needing scalable expert data and human evaluation
Who is it for?
Decision note
Accepted with a 94/100 score for clear AI relevance, active availability, strong official sources, broad training-data utility, and distinct positioning from general model infrastructure platforms.
Key features
Expert data for agents and foundation models
Self-service platform and API workflows
Human and LLM-assisted quality assurance
Text, code, image, audio, and video support
Use cases
Create supervised fine-tuning data
Collect preference and RLHF evaluations
Red-team model and agent behavior
Label multimodal datasets
Pros
- Covers 40+ expert languages
- Supports self-service and managed delivery
- Combines human expertise with automated QA
Limitations
Toloka’s output quality depends on task specifications, expert selection, calibration, overlap, quality controls, and acceptance criteria. Customers must validate samples, privacy, rights, and suitability before training or evaluating high-impact systems.
Pricing details
Billing options
Pricing note
Self-service projects require a positive prepaid balance and charge the displayed task rates and fees. Managed projects are scoped and quoted to requirements. Toloka states there are no minimums or contracts for the platform and customers pay for work that passes QA.
Supported languages
- 40+ expert languages
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