Data Labelling Engineer (Machine Learning/AI)

Manpower Staffing Services; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A staffing agency in Singapore seeks a data specialist to support data classification and improve algorithms in collaboration with the R&D team. The ideal candidate has a major in Computer Science or IT, strong analytical and communication skills, and a keen interest in artificial intelligence and machine learning. Responsibilities include optimizing data processes and participating in model improvement discussions.

Qualifications

• Experience in data analysis or DBA roles.
• Ability to understand business contexts relevant to data.
• Strong interest in AI and machine learning.

Responsibilities

• Support data classification and taxonomy methods.
• Assist R&D team in improving algorithm recognition.
• Investigate data samples to enhance classification standards.
• Optimize the data annotation operation process.
• Design functional optimizations for the annotation platform.

Skills

Data analysis

Communication skills

Repetitive task proficiency

Knowledge of artificial intelligence

Education

Major in Computer Science or IT

Job description

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 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.