Marketing AI & MarTech Intern

请同学申请前先仔细阅读 1. 2026年10月往后毕业的同学 （必须） 2. 实习3个月（必须）4个月或以上(理想) 3. 每周实习4天或以上 （必须） 4. 英文能够作为工作语言（必须） 5. AI， IT 或相关专业 Main Responsibilities 1. AI Tools Research, Testing & Application Research, test, and apply mainstream large language models and AI tools to support brand and marketing-related work Assist in evaluating the applicability, strengths, and limitations of different AI tools in marketing scenarios 2. Marketing AI Agent Development & Optimization Support foundational AI Agent work, including: Structuring and organizing input information Testing outputs and feedback from different perspectives Participate in testing AI Agent performance in scenarios such as: Audience insight exploration Campaign or messaging reaction simulation Concept or idea stress testing Document and summarize how AI Agents are used in real marketing work and the value they create Support the standardization and knowledge sharing of AI Agent usage 3. Cross-Functional Collaboration Support Assist with coordination and communication between Marketing and IT / Legal / external vendors, helping translate marketing needs into requirements that are understandable and actionable for technical, legal, or vendor teams Support meeting preparation, discussion notes, and follow-up action tracking Skills / Experience Required Basic Requirements Background in Computer Science, Artificial Intelligence, Data, Information Management, Engineering, or related STEM fields (undergraduate or graduate student) Genuine interest in the intersection of AI, technology, and marketing Active curiosity about marketing, branding, users, and business problems, not just technology itself, with an understanding that the value of technology depends on being applied to the right problem in the right way Availability of 4–5 days per week with consistent commitment Fluent English in listening, speaking, reading, and writing; able to use English as a daily working language for written and verbal communication with global headquarters, and to read, understand, and synthesize English materials (documents, specifications, requirements, feedback) AI / Technical Foundations Systematic understanding or hands-on experience with mainstream AI / large language models, including but not limited to: Model capabilities and limitations Prompting logic Basic AI Agent concepts Familiar with and able to practically use mainstream AI tools or platforms, beyond theoretical knowledge