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 services firm in Singapore is seeking a data analyst to support data classification and improve algorithm recognition. The ideal candidate holds a degree in Computer Science or IT, has strong communication and analytical skills, and is familiar with artificial intelligence and machine learning. Responsibilities include optimizing annotation processes and supporting the R&D team.

Qualifications

• Majored in Computer Science or IT related, with research in testing, data analysis or DBA experience.
• Excellent communication and analytical skills.
• Able to perform repetitive tasks with minimal errors.
• Knowledge of AI and machine learning is preferred.

Responsibilities

• Support data classification methods and ensure accuracy.
• Assist R&D team in improving algorithm recognition.
• Investigate data samples and improve classification standards.
• Optimize annotation operation processes.
• Participate in annotation platform functional design.

Skills

Data classification

Communication skills

Analysis skills

Repetitive task execution

Artificial intelligence interest

Education

Degree in Computer Science or IT related

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