ByteDance

Responsibilities

About the team

As a core member of our LLM Global Data Team, you'll be at the heart of our operations. Gain first-hand experience in understanding the intricacies of training Large Language Models (LLMs) with diverse data sets. Through our carefully designed rotation program, you'll witness how high-quality data is meticulously crafted and used.

Job Responsibilities

• Design and drive comprehensive red-teaming projects aimed at uncovering vulnerabilities in multimodal systems. Coordinate efforts across internal teams and external collaborators, including academic researchers, third-party red teamers, and industry partners.
• Systematically analyze red-teaming outputs to identify failure modes, behavioral inconsistencies, and safety risks. Translate these findings into actionable insights to inform harm mitigation strategies, model alignment techniques, and product safety improvements.
• Work closely with model development, safety, and policy teams to ensure red-teaming insights are integrated into training data curation, model safety evaluation frameworks, and deployment practices.
• Conduct research on the latest developments in AI safety, adversarial testing, red-teaming methodologies, and responsible AI practices across academia and industry. Proactively identify limitations in existing evaluation paradigms and propose novel approaches to stress-test models under real-world and edge-case scenarios.

Please note that this role may involve exposure to potentially harmful or sensitive content, either as a core function, through ad hoc project participation, or via escalated cases. This may include, but is not limited to, text, images, or videos depicting:

• Hate speech or harassment
• Self-harm or suicide-related content
• Violence or cruelty
• Child safety

Support resources and resilience training will be provided to support employee well-being.

Qualifications

Minimum Qualifications

• Bachelor's degree or higher in a relevant field (e.g., Computer Science, Engineering, Public Policy, or related disciplines).
• Exceptional proficiency in both English and Mandarin, with strong written and verbal communication skills required to collaborate with internal teams and stakeholders across English and Mandarin-speaking regions.
• Demonstrated analytical thinking, with the ability to synthesize both quantitative and qualitative data to draw meaningful insights.
• Solid project management capabilities and effective cross-functional communication skills.
• Foundational understanding of large AI models and familiarity with key industry practices in AI safety and responsible AI development.

Preferred Qualifications

• Interest in or experience with reviewing technical literature, such as model or system cards, red-teaming reports, or AI alignment research.
• Self-motivated, intellectually curious, detail-oriented, and collaborative, with a strong sense of ownership.
• Awareness of emerging safety and alignment challenges related to frontier AI systems and high-capability models.