This role would provide focused execution support for early-stage AI initiatives alongside the department's core digital work. The intern would help turn ideas into testable outputs, document findings, and create reusable materials to support decisions on further development or adoption. Assignments would be prioritized according to business needs and the intern's capabilities. Operation of internal data platform is also needed. • GEO research and testing. Research how the brand and relevant automotive topics appear in AI generated answers; run structured tests, assess accuracy and cited sources, and summarize opportunities to improve digital content. • AI-assisted website development. Use AI coding tools to help build and refine reusable website components, follow existing UI/UX guidelines, test functionality, and document implementation. • AI tools for daily productivity. Identify repetitive team tasks, evaluate suitable AI tools, and help create simple automations, reusable prompts, and practical usage guides. • AI application prototyping. Help translate selected business needs into small proofs of concept, integrate approved tools or APIs where appropriate, test outputs, and prepare demonstrations. • Data platform operation. Communicate with specific business owners, update data of platform different modules, and check with development team for platform function optimization and repairment. 

Education Background: Major in Computer Science, Information Technology, Data Science, Business Analytics, or a related field. Professional Skills: • Tools skills: AI Agent, Power BI or other BI tools, experience in utilizing AI Agents and competence in programming languages such as Python, SQL. • Candidates should have demonstrated hands-on experience with AI tools, along with curiosity, initiative, and a structured approach to problem-solving. • Strong communication skills with the ability to quickly grasp business contexts Competence Requirements: • Experience in data analysis, business intelligence, or ai-assisted development, with a sense of applying AI to business challenges, building and testing digital solutions, and critically evaluating AI outputs. • Familiarity with ETL processes and tools to ensure data accuracy and integrity in reporting. • Excellent communication skills to effectively convey complex concepts to both technical and non technical audiences. Language Skills: • Chinese and English can be working language.