Nhân Viên Gắn Nhãn Dữ Liệu (Data Annotator)

• Perform labeling, categorizing, and managing e-commerce data (products, customer information, transactions, etc.).
• Classify data types based on project requirements, ensuring accuracy and completeness.
• Ensure consistency and quality in labeling processes to support machine learning models and data analytics systems.
• Collaborate with development teams to ensure data processing efficiency.
• Monitor, evaluate, and propose improvements to the labeling process to enhance accuracy and minimize errors.
• Review labeled data and report any inconsistencies or errors.
• Update and maintain documentation for labeling procedures and quality standards.

Responsibilities:

• Complete daily work objectives according to project requirements and meet tasks within accurate timeframes.
• Participate in training programs and pass competency assessments.
• Coordinate with the project management team to ensure high accuracy in meeting work goals.
• Carry out other tasks assigned by the project manager as needed.

• Attention to detail, with the ability to detect errors and adjust data accordingly.
• Proficiency in using data management tools and software such as Excel, Google Sheets, or other data analytics software.
• Strong teamwork skills and effective communication with other teams such as development, QA, and data analytics.
• Ability to work independently and manage time effectively to meet project deadlines.
• Basic understanding of machine learning and how data is used in models is a plus.
• Experience working with data and labeling processes in the e-commerce field or similar industries is an advantage but not required, as training will be provided.
• Fluent in Vietnamese (vi-VN), and proficient in English (B2 or higher).
• Be present for 40 hours a week (8 hours per day, 1-hour break), working directly in the office.
• Working hours: 9 AM - 6 PM or 2 PM - 10 PM daily. Weekend and holiday shifts may apply depending on the position, with the possibility of swapping rest days.
• Experience in e-commerce, customer service, data labeling and annotation, and/or quality assurance is a significant advantage.