Fractal

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
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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 #researchers

  • Initiatives 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.
    #faculty

  • Job 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.

    Results:

    17%

    budget reduction while achieving optimal quality.

    Read the storyRead the story
  • Improved the accuracy
    of a predictive tool using local shopping patterns.

    Results:

    30%

    improvement in app accuracy after data collection, reaching 95%.

    Read the storyRead the story
  • Enhanced online
    product search.

    Results:

    40,000

    search relevance tasks completed in one month for $1500.

    Read the storyRead the story
  • Tuned a 3D foot sizing
    app for better accuracy.

    Results:

    12%

    improvement in app accuracy with accelerated time to market.

    Read the storyRead the story

Explore, exchange
and apply new ideas

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