AI Product Manager Project Intern (AI Data & Safety) - 2026 Start (BS/MS)

• Model Analysis & Feedback: Deep-dive into model training goals. Analyze user behavior and "Bad Cases" to pinpoint model weaknesses and suggest actionable data-driven improvements.
• Data Strategy & Sourcing: Assist in defining data construction strategies (including synthetic data). Keep a pulse on global market trends to ensure our datasets remain competitive.
• Vendor & Project Management: Manage progress with global data labeling vendors. You will be responsible for defining task specs, monitoring throughput, and ensuring high-quality delivery under tight deadlines.
• Pipeline Automation: Leverage LLMs to build automated data production and quality check (QC) systems. You’ll help design the logic that allows us to scale data production without sacrificing quality.
• Cross-Border Collaboration: Act as a bridge between our CN-based research team and overseas vendors to ensure seamless communication and alignment on data standards.

• Academic Background: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related technical field.
• Technical Toolkit: Proficient in Python (e.g., Pandas, NumPy) for data manipulation and automation, with experience in prompt engineering to design complex prompts for LLMs to generate and evaluate synthetic data.
• AI Fluency: A solid understanding of LLM/VLM architectures. You should be an active user of AI tools and stay updated on the latest research papers and product releases.
• Analytical Mindset: You enjoy digging through massive datasets to find patterns. You can translate a "vague model error" into a "concrete data requirement."
• System Thinking: Ability to design complex workflows and rules for data processing and evaluation.
• Communication: Fluent in English and Mandarin to collaborate with international teams and vendors based in Chinese-speaking markets. Proficiency in Mandarin is required for reviewing technical documents.
• Grit: You are hardworking, detail-oriented, and take extreme ownership of data quality.

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If you have any questions, please reach out to us at apac-earlycareers@bytedance.com

The AI Data and Safety team plays a critical role in advancing Seed foundational models across modalities and improving AI-native applications built on the Seed model series. We work across the data lifecycle, from defining evaluation approaches and translating user feedback and benchmark outcomes into data requests, to building scalable processes that improve data quality and support rapid model iteration.

Our team combines technical and operational capabilities, bringing together multidisciplinary talent across product management, data engineering, and data operations. Our work is driven by people who think deeply about model behavior, move quickly to solve complex problems, and bring first-hand experience as both builders and users of models and agents.

In close partnership with Seed researchers, industry experts, and leading data vendors, we tackle challenging data problems at the frontier of AI development, helping improve both model performance and user experience.