Data Labelling Engineer

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading company in Singapore is seeking a Data Analyst to enhance data classification and improve machine learning algorithms. The ideal candidate will have a strong background in Computer Science, excellent analytical skills, and the ability to work on repetitive tasks accurately. Join this innovative team to contribute to critical data-driven projects and enhance operational efficiency.

Qualifications

• Minimum 2 years in testing, data analysis, or DBA experience.
• Knowledge of data modelling, artificial intelligence, and machine learning.
• Able to perform repetitive tasks with minimal errors.

Responsibilities

• Support data classification and taxonomy methods.
• Analyze various data samples and improve algorithm recognition.
• Optimize the data annotation operation process.

Skills

Communication

Analysis

Reasoning

Education

Bachelor's in Computer Science or IT related field

Job description

Job Responsibilities:

• Support data classification and taxonomy methods and standards
• Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate
• Support in improving algorithm recognition and machine learning ability, analyze bad case of algorithm recommended data labels and put forward suggestions and basis for annotation/labelling
• 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
• Participate in the functional optimization design of the annotation platform

Requirements:

• Majored in Computer Science or IT related, with minimum 2 years of 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 data modelling, artificial intelligence and machine learning