Data Analyst (Data Labelling)

Job Responsibilities: • 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. Qualifications: • Bachelor’s Degree in Computer Science or IT related discipline. • At least 1 year of working experience in data analyst or DBA, 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. • Willing to perform repetitive tasks effectively with a minimum of errors. • Knowledge and keen interest in artificial intelligence and machine learning.