Contribute to the project's foundational knowledge by documenting the shared technical understanding and implementation details aligned with high-level business requirements and project goals.
Agentic Recommendation System: Explore the application of LLMs in data analytics, covering user behavior analysis, crowd segmentation, customer acquisition analysis, growth analytics and profitability analysis, and advance the implementation of the new paradigm of Agentic Data Analysis.
User Engagement & Requirement Tracking: Interface with business users to understand their workflow scenarios, track user experience, handle issue reports, and monitor feature request progress. Document common issues and best practices to build reusable guidelines and case studies.
User Engagement & Requirement Tracking: Interface with business users to understand their workflow scenarios, track user experience, handle issue reports, and monitor feature request progress. Document common issues and best practices to build reusable guidelines and case studies.
Support general annotation operation improvement initiatives across multiple data domains such as Reasoning, General Knowledge, STEM, and Humanities. Create and maintain technical guidelines and casebooks to support consistent and high-quality data production from external parties.
Fullerton Health Technology (FHT) serves as the Group’s technology and innovation arm, spearheading enterprise AI transformation, data platform modernization, and intelligent healthcare automation initiatives across the region.
Currently pursuing a Bachelors or Masters degree in Industrial Engineering, Supply Chain, Data Analytics/Management Information Systems or related business field