When it comes to data labeling quality, there are two sides to the equation. Our job is to weed out bad actors and protect your projects from systematic fraud. Your job is to customize quality control settings to get the best results.
Together we can ensure the health and security of your data labeling projects.
Toloka uses multilayer technologies to detect and prevent all types of fraud, including these and many other problematic behaviors on the platform.
Our platform-wide anti-fraud system is based on mature machine learning solutions that are continuously updated.
Our algorithms leverage behavioral signals and predictive methods to accurately detect and mitigate fraudulent activity.