Responsibilities

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.

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

Applications will be reviewed on a rolling basis - we encourage you to apply early.

In this role, you will sit at the intersection of product management, data engineering, and research. You won't just be managing tasks; you'll be a front-line contributor to model breakthroughs, working alongside world-class researchers and global data vendors to solve the most complex data challenges in the AI frontier.

As an intern, you will support the PM lead in orchestrating the engine that powers our LLMs and VLMs. Your focus will be split between operational excellence and technical innovation.

Direct Impact: Your data directly dictates how our foundation models behave.
High-Growth Environment: Work in a vibrant AI ecosystem with a global team of experts from diverse backgrounds.
Technical Exposure: Gain hands-on experience in how industrial-grade AI is actually built, from raw data to fine-tuned models.

Key Responsibilities

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.

Qualifications

Minimum Qualifications

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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Job Information

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an Always Day 1 mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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