Role
- Support data classification and taxonomy methods and standards, understand business, cooperate with data team. Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate.
- Support R&D team to improve algorithm recognition and machine learning ability, analyze bad case of algorithm recommended data labels, put forward suggestions and basis for annotation/labelling, and participate in the discussion of algorithm model improvement solutions
- Deeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample database
- Improve the data annotation operation process, optimize the label sampling and review mechanism, and improve the efficiency of manual standards
- Participate in the functional optimization design of the annotation platform
Requirements
- 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
- 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
- Be able to effectively do repetitive tasks and effectively with a minimum of errors
- Knowledge of artificial intelligence and machine learning.
Charles, Lau Ngie Hao License No.: 02C3423 Personnel Registration No.: R1656741
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