Data Labelling Engineer (Data annotation)

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 40,000 - 65,000; Full time

Job summary

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD is looking for a Data Analyst in Singapore. This role involves supporting data classification, accuracy checking, and collaborating with the R&D team to enhance algorithm recognition and machine learning capabilities.

The ideal candidate should have a Bachelor's Degree in Computer Science or related field and at least 1 year of relevant experience. Strong communication skills and a keen interest in AI are essential.

Qualifications

• Bachelor’s Degree in Computer Science or IT related discipline.
• At least 1 year of working experience in data analyst or DBA.
• Excellent communication and analysis skills.

Responsibilities

• Support data classification and taxonomy methods and standards.
• Support analysis and ensure accuracy and recall rate.
• Collaborate with R&D to improve algorithm recognition.

Skills

Data Analysis

Communication Skills

Machine Learning

Attention to Detail

Education

Bachelor’s Degree 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 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.