Data Labelling Engineer

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 40,000 - 60,000; Full time

Job summary

A staffing services company in Singapore is seeking a Data Analyst to support data classification, enhance algorithms, and improve data processes. The ideal candidate will hold a Bachelor's Degree in Computer Science, have at least 1 year of relevant experience, and possess strong communication and analytical skills. This role involves collaboration with the R&D team and requires a keen interest in artificial intelligence and machine learning.

Qualifications

• Minimum 1 year of experience in R&D, data analysis, or DBA.
• Ability to analyze and understand business samples.

Responsibilities

• Support data classification and taxonomy methods.
• Assist R&D team to improve algorithms and machine learning.
• Optimize the data annotation operation process.

Skills

Excellent communication skills

Analytical skills

Knowledge of machine learning

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 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.
• Willing to perform repetitive tasks effectively with a minimum of errors.
• Knowledge and keen interest in artificial intelligence and machine learning.