Data Labelling Engineer

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 badcase of algorithm recommended data labels, put forward suggestions and basis for annotation/labelling, and participate in the discussion of algorithm model improvement solutionsDeeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample databaseImprove the data annotation operation process, optimize the label sampling and review mechanism, and improve the efficiency of manual standardsParticipate in the functional optimization design of the annotation platformQualifications: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 storageExcellent communication and analysis skills and good reasoning skills, able to quickly understand the business and judge the sample type according to the business attributesGood to Have:Be able to effectively do repetitive tasks and effectively with a minimum of errorsKnowledge of artificial intelligence and machine learning.