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Data about performers
You can view information about performers of your tasks on the Users page. To view information about a performer, select their ID. The requester can access the following data in the performer profile: country and city, age, education, language skills, rating. On the Metainformation tab, you can find the versions of the browser and operating system, the User-agent type, region detected by IP, and other performer parameters. To select the performers for your pool based on their profile, device, geo location, and other parameters, use filters.
It's the performer's responsibility to provide the information in the profile during registration. We don't request identity documents for registering in Yandex.Toloka. If a profile seems suspicious to us, we ask the owner to confirm the information.
No, only the requester can see the performer ID.
The requester can't see the full details about specific performers. For example, the requester can't see their date of birth, gender, last name, or first name. However, filters by date of birth and gender are available to the requester in the pool settings. You can use them to select a group of performers without accessing the details about specific performers. This decreases the risk of performer de-anonymization.
The pool shows the total number of performers that completed at least one task page. A training skill can be lost over time if you set repeated training in the pool settings. This setting allows a performer to pass the training again after a certain period if the performer didn't complete any tasks in associated pools or if there was a large time gap between completing tasks (for example, because of the ban). The training skill displays the performers who either recently completed training, or regularly complete your tasks so that the skill doesn't expire.
To view your expenses that involve rewards, go to your profile and open the Expenses tab.
No. After sending a task, the performer can't make any changes to it. You can add tasks that were completed incorrectly to a new pool.
No, you can't fix anything in the task itself. However, you can do this manually in the results file.
If the user was already paid for the tasks, you can't cancel the payment.
During the training, performers follow the task instructions and practice completing your tasks. Based on the training results, the requester can select performers who did well enough to get access to the main pool. However, the mere fact that the performer completes your training pool successfully does not guarantee that they will continue to demonstrate high-quality performance. Performers who did well on the training but had inadequate results in the main task might have obtained correct training responses from other people.
In addition to the training, be sure to set up quality control rules in your main pools. This lets you control the quality throughout the task completion process. If the task requires that users send free-format responses or data files, use non-automatic acceptance to pay for them only after reviewing the responses.