Data Labelling Engineer (Data annotation)

ManpowerGroup; Singapore; Sur place; SGD 36 000 - 60 000; Plein temps

Résumé du poste

ManpowerGroup in Singapore seeks a data annotation specialist to support data classification and labeling standards across business lines, cooperating with the data team to ensure accuracy and improve annotation processes.

The candidate should have a CS/IT background with testing, data analysis, or DBA experience, plus strong communication and analytical skills and knowledge of AI/ML concepts to guide labeling decisions.

Qualifications

• Excellent communication and analysis skills.
• Good reasoning skills and ability to quickly understand business attributes.
• Knowledge of AI and machine learning concepts.

Responsabilités

• Support data classification and taxonomy standards across business lines.
• Assist R&D to improve algorithm recognition and labeling quality.
• Investigate data samples to refine classification standards and sample databases.
• Improve the annotation operation process and label review mechanisms to reduce errors.
• Participate in the functional design of the annotation platform.

Connaissances

Communication skills

Analytical reasoning

Understanding business context

AI & ML knowledge

Formation

Computer Science/IT-related degree with testing/data analyst/DBA experience

Description du poste

• 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