💡 Task Reward Calculation

TAGGER 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. TAGGER 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: $TAG = single task reward × halving coefficient × account level coefficient × mask accuracy coefficient

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

Data Review: $TAG = 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 level	task completed requirements
0 to 5	10 task per level
6 to 10	20 task per level
11 to 15	30 task per level
16 to 20	40 task per level
21 to 25	50 task per level
26 to 30	100 task per level
31 to 35	150 task per level
36 to 40	200 task per level
41 to 45	250 task per level
46 to 50	300 task per level
51 to 55	400 task per level
56 to 60	500 task per level
61 to 65	600 task per level
66 to 70	700 task per level
71 to 75	800 task per level
76 to 80	1000 task per level
81 to 85	1200 task per level
86 to 90	1400 task per level
91 to 95	1600 task per level
96 to 100	1800 task per level