- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 4 saat önce
- Work mode
- In office
- Resume
- Required to apply
Where you'll work
Job description
Job Overview
The Data Labelling Engineer role involves meticulous classification and annotation of data to maintain high quality and usability for machine learning and AI initiatives. This position requires collaboration across research and development teams to optimize labelling processes and enhance data accuracy.
Primary Responsibilities
- Implement and uphold data classification protocols and taxonomy guidelines, ensuring precise and comprehensive labelling of data samples to meet quality standards.
- Partner with R&D teams to analyze incorrectly labelled data examples, propose adjustments, and support continual refinement of underlying algorithms.
- Gain an in-depth understanding of data across various business units to drive improvements in labelling standards and the maintenance of sample databases.
- Streamline annotation workflows by refining sampling and review procedures, aiming to boost efficiency and accuracy in data labelling tasks.
Additional Information
Manpower Singapore prioritizes the safety and confidentiality of candidates throughout the recruitment process. No payments or sensitive financial details will ever be requested. Any suspicious communication claiming association with our recruitment efforts should be reported immediately. The application and ensuing interaction imply consent to the collection and use of personal data in accordance with the Personal Data Protection Act 2012 and ManpowerGroup's global privacy policies.
Saraja Dornala EA License No.: 02C3423 Personnel Registration No.: R1330361