Job Responsibilities:

• Support data classification and taxonomy methods and standards
• Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate
• Support in improving 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:

• Major in Computer Science or IT related, with minimum 1 year of 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