Data Labelling Engineer (Machine Learning/AI)

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 125,000 - 150,000; Full time

Job summary

A leading staffing service provider in Singapore is looking for a candidate with a background in Computer Science or IT. The role involves supporting data classification and improving algorithm recognition. Successful applicants should have excellent communication skills, familiarity with AI and machine learning, and experience in data analysis or DBA roles.

Qualifications

• Experience in testing, data analysis, or DBA roles.
• Familiarity with data samples in storage.
• Strong interest in AI and machine learning.

Responsibilities

• Support data classification and taxonomy methods.
• Enhance algorithm recognition and machine learning.
• Analyze data samples for business line improvement.
• Optimize the data annotation operation process.
• Participate in annotation platform functional optimization.

Skills

Excellent communication and analysis skills

Good reasoning skills

Ability to efficiently perform repetitive tasks

Knowledge of artificial intelligence and machine learning

Education

Majored in Computer Science or IT related field

Job description

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 badcase 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

• 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. Strong interest is preferred