Data Labelling Specialist

2 weeks ago


Singapore Experis Full time

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
  • 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:

  • Majored 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 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
Claudia Kueh Kee Jinq EA
License No: 02C3423

Personnel Registration No:
R1880247
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