Part-Time Data Annotator - Philippines

This role requires the candidate to work in the Philippines (Work From Anywhere).

Client Overview

Our client is a technology organization specializing in artificial intelligence-driven recruitment systems, mobile talent platforms, and workforce data intelligence solutions. The company focuses on building scalable digital ecosystems that connect job seekers and employers through intelligent matching systems, automated search optimization, and localized employment data processing.

As part of its regional expansion strategy across Southeast Asia, the organization is enhancing its artificial intelligence infrastructure by improving the accuracy and coverage of localized datasets. To support this initiative, the company is expanding its data annotation and regional verification operations in the Philippines, focusing on strengthening geographic, linguistic, and employment-related data used to train its AI systems.

Job Role

The Part-Time Data Annotator – Philippines will be responsible for supporting AI search optimization initiatives by reviewing, categorizing, and validating localized digital information related to the Philippines’ geography, business classifications, and employment-related data.

Working remotely under a flexible schedule, the successful candidate will conduct structured online research, verify local information, classify datasets, and ensure accurate and consistent data annotation outputs. This role is designed for students and part-time workers seeking hands-on experience in artificial intelligence, data labeling, and digital research within a fully remote environment.

Key Responsibilities

• Review, classify, and annotate localized Philippine geographic data, business categories, and employment-related search keywords.
• Conduct online research using publicly available sources, mapping tools, and digital directories to verify assigned data points.

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• Apply local contextual knowledge of Philippine cities, regions, and administrative divisions to ensure accurate dataset labeling.
• Support AI model improvement by maintaining high standards of data consistency and accuracy.
• Complete daily data annotation tasks within assigned timelines while maintaining quality standards.
• Perform quality assurance checks before final submission of annotated datasets.
• Collaborate remotely with supervisors and project teams to ensure smooth workflow execution.
  
  

Requirements

• Currently residing in the Philippines and has lived in the country for at least two years.

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• Open to college students and part-time workers of any nationality.
• No specific educational background required.
• Strong familiarity with Philippine geography, including cities, municipalities, and regional structures.
• Strong online research skills with attention to detail and structured analytical thinking.
• Comfortable using computers, web browsers, mapping tools, and online research platforms.
• Native or professional proficiency in English and Tagalog.
• Basic conversational Chinese is an advantage but not mandatory.
• Must have access to a personal laptop or computer with stable internet connection.
• Able to work independently from home with strong discipline in completing daily tasks.
• Available to work approximately 6–8 flexible hours per day, depending on task allocation.
  
  

Job Code: #761