AI data platform · agent-built pipelines
Describe your data goal. The agent builds the rest.
Describe your full data goal. The agent builds your entire collection and annotation pipeline automatically — and keeps quality in check throughout.
No coding required · Results in 24–48 hours
platform.toloka.ai/projects/sur-transcription/pipelines/overlap_transcribe
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Live platform interface
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Pipeline built automatically
89.1% QA accuracy
200,000+ experts
Trusted by frontier AI labs and enterprise data teams
Northwind
Vector
Apex
Helix AI
Lumen
PLATFORM
Every task in your pipeline. One platform
RLHF & Preference data
Expert-ranked responses and multi-turn dialogues for complex reasoning
Data collection
Raw inputs and real-world examples gathered at scale
Instruction tuning
Prompt-completion pairs across domains and languages
Model evaluation
Domain experts catch automated evaluation gaps
Synthetic data validation
Verify LLM-generated training data for accuracy
Content moderation QA
Ground-truth labels from specialist reviewers
HOW IT WORKS
How it works
01
Describe your project
Tell the agent your goal, data type, and use case. Attach reference files or datasets if you have them.
02
Answer a few questions
Clarify architectural pipeline structure, workforce split, consent flows, regional storage. Answer once, and the agent builds from there.
03
Review your pipeline
The agent builds your full multi-stage pipeline automatically. Review each node — data structure, task UI, quality criteria, contributor guidelines, pricing, and QA method.
04
Validate before you scale
Complete a small number of tasks yourself to calibrate LLM QA to your quality bar. Catch anything off before it compounds.
05
Work begins
Experts label. LLM QA validates every output automatically. Human QA also available. Your feedback improves the QA system as the project runs.
06
Download results
Validated data, formatted and ready to use. No manual review required.
WORKFORCE
The right expert for every task. Matched automatically.
200,000+
experts across 90+ domains
Domain experts
Specialists in law, medicine, finance, science, and 90+ domains. Complex reasoning, sensitive content, high-stakes evaluations.
General annotators
Trained generalists for tasks that need consistency and scale, not specialization. Text generation, image/video classification, preference labeling.
Global crowd
High-volume, geographically distributed workforce for straightforward data tasks. Data collection, simple annotation, content moderation.
QUALITY
Built-in quality
89.1%
accuracy catching failures — before they reach your pipeline.
No manual review. No engineering required.
Read more about our LLM-QA methodology
Project overview
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FAQ
Questions, answered
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?
Start your first project today
Enterprise quality. Results in 24-48 hours.