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 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.

Rajasekar Shirley Monisha License No.: 02C3423 Personnel Registration No.: R22106767

Your Safety and Data Security Matter to Us

ManpowerGroup is committed to a safe and transparent hiring process. We will never request payment, banking details, or sensitive personal information as part of our recruitment. If you receive suspicious outreach claiming to be from us, please contact [email protected].

Please note that your response to this advertisement and subsequent communications with us will constitute informed consent to the collection, use, and disclosure of personal data by Manpower Singapore for recruitment and employment-related purposes, in compliance with the Personal Data Protection Act 2012. To learn more about ManpowerGroup's Global Privacy Policy, please visit: https://www.manpower.com.sg/privacy-policy.