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Data Labelling Engineer
Job summary
A leading staffing solutions company in Singapore is looking for a Data Classification Specialist. This role involves supporting data classification methods, optimizing algorithm recognition, and enhancing data annotation processes. The ideal candidate will have a degree in Computer Science or IT, experience in data analysis, and excellent communication skills. Knowledge of artificial intelligence and machine learning is essential.
Qualifications
- Knowledge of artificial intelligence and machine learning.
- Research and development in testing, data analysis, and DBA experience.
- Ability to effectively perform repetitive tasks with minimal errors.
Responsibilities
- Support data classification and taxonomy methods and standards.
- Improve algorithm recognition and analyze bad data cases.
- Investigate data samples and improve classification standards.
Skills
Education
- 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
- 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.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.