💡 Task Reward Calculation

TORUS welcomes all users who wish to contribute to the development of AI to participate in creating value from data. Here, you can engage in various data tasks such as data collection, data cleaning, and data annotation to create data value and receive real-time work rewards. TORUS possesses a comprehensive and efficient intelligent work system to assist participants in data tasks and to evaluate and certify the results of their work, ensuring that all users can fairly receive corresponding token rewards.

Reward Calculation Formula

AI Copilot Labeling: $TORUS = single task reward × halving coefficient × account level coefficient × mask accuracy coefficient

Manual Labeling: $TORUS = single task reward × halving coefficient × account level coefficient × daily pass proportion coefficient

Data Review: $TORUS = single task reward × halving coefficient × account level coefficient × daily review accuracy coefficient

Account Level Coefficient

account level coefficient = 1 + 0.01 x account level, which is designed to incentivize long-term data workers. The progression of account levels is outlined in the table below.

account leveltask completed requirements