Job Responsibilities:
1. Support data classification and taxonomy methods and standards, understand business and cooperate with the data team. Support analysis, identification, and marking of various data samples in storage, and ensure accuracy and recall rate.
2. Support the R&D team to improve algorithm recognition and machine learning ability, analyze badcase of algorithm-recommended data labels, put forward suggestions and basis for annotation/labeling, and participate in the discussion of algorithm model improvement solutions
3. Deeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample database
4. Improve the data annotation operation process, optimize the label sampling and review mechanism, and improve the efficiency of manual standards
5. Participate in the functional optimization design of the annotation platform
Ability requirements:
1. Majored in Computer Science or IT-related, with research and development in testing, data analyst or DBA experience, familiar with all kinds of data samples in storage
2. Excellent communication and analysis skills and good reasoning skills, able to quickly understand the business and judge the sample type according to the business attributes
3. Be able to effectively do repetitive tasks and effectively with a minimum of errors
4. Knowledge of artificial intelligence and machine learning.
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