Education initiatives
Education, collaboration, and support for those working with data.
Why master crowdsourcing?
Data is essential
AI-based products and services rely on large amounts of high-quality labeled data for training, tuning, and evaluating machine learning algorithms. We strongly believe that machine learning workflows will focus increasingly on data production.
Optimize quality, speed and cost
The crowdsourcing approach is a popular way to collect and label large datasets with faster turnaround and lower costs compared to using a limited group of experts for data collection and annotation. Our 10 years of industry experience and research show that building top-quality datasets requires a strict methodology.
Self-Study Guide to Crowdsourcing
We created this series of video tutorials to get you acquainted with crowdsourcing - through theory and real-life case studies. Our guide consists of 3 tracks: ML and AI, Business and Marketing, and Social Sciences. Whatever your background, you can count on our tutorials to walk you through the basics.
Learn more
Support for educators and students
Education Pricing Plan
Our special offer for students, faculty members, and researchers gives you the opportunity to collect and label data with zero commission. Apply now and tell your colleagues and students about this pricing plan.
#students #faculty #researchersInitiatives for Educators
We believe that it is essential to support those who educate. That’s why we have accumulated all we have to offer in one place. To see what we have for educators, go to Learn More.
#facultyJob Opportunities
We are passionate about connecting crowdsourcing enthusiasts with companies looking for crowd solutions architects. Check out open positions on the job board.
#everybody
Partnerships in higher education
Toloka partners with universities across the world to incorporate crowd science techniques into coursework.
Similar success stories
Improved crowdsourced translations of product descriptions.
Read the storyRead the storyResults:
17%
budget reduction while achieving optimal quality.
Improved the accuracy
of a predictive tool using local shopping patterns.Read the storyRead the storyResults:
30%
improvement in app accuracy after data collection, reaching 95%.
Enhanced online
product search.Read the storyRead the storyResults:
40,000
search relevance tasks completed in one month for $1500.
Tuned a 3D foot sizing
app for better accuracy.Read the storyRead the storyResults:
12%
improvement in app accuracy with accelerated time to market.
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