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 and put forward suggestions and basis for annotation/labelling
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
Participate in the functional optimization design of the annotation platform

Requirements:

Bachelor Degree in Computer Science or IT related, with minimum 2 years of 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 data modelling, artificial intelligence and machine learning

Data Labelling Engineer