Data Labelling Engineer (Data annotation)

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

Required:

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

Ma NingMan EA License No.: 02C3423 Personnel Registration No.: R26163187

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