Model Safety Analyst - AI Data & Safety

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

ByteDance's AI Data & Safety team advances Seed's foundational models and safety across multimodal AI products, from evaluation to data generation. You will help build scalable safety workflows with researchers, product teams, and engineers, driving responsible AI practices across the organization.

You will translate findings into practical insights, manage end-to-end projects, and support resilient safety tooling and processes in a fast-paced environment.

Qualifications

• Bachelor's degree or higher in AI Policy, Public Policy, Political Science, International Relations, Law, Philosophy, or related discipline.
• Strong command of English in written and oral communication.
• Strong analytical skills to interpret qualitative and quantitative data and translate them into insights.
• Proven project management abilities with experience leading cross-functional initiatives.
• Creative problem-solving mindset and comfort working under ambiguity to improve processes.

Responsibilities

• Conduct research on AI safety developments across academia and industry.
• Identify limitations in evaluation paradigms and propose novel, defensible testing approaches.
• Design and refine safety evaluation guidelines for multi-models.
• Define metrics to assess safety-related behaviors, failure modes, and alignment with responsible AI principles.
• Analyze safety evaluation results to surface issues from model training, fine-tuning, or product integration.
• Partner with cross-functional teams to build scalable safety evaluation workflows and feedback loops.
• Manage end-to-end project lifecycles including scoping, planning, execution, and delivery.

Skills

Strong English communication

Analytical skills

Project management

Creative problem-solving

Cross-functional collaboration

Education

Bachelor's degree or higher

Job description

Responsibilities

The AI Data and Safety team plays a critical role in advancing Seed's foundational models, AI products across modalities, and improving AI-native applications built on the Seed model series. We work across the data lifecycle, from defining evaluation approaches, 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 and multilingual 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 internal 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. Our team is dedicated to ensuring the safe and ethical development of Seed models by proactively identifying, monitoring, and mitigating risks.

Our comprehensive approach includes safety evaluation, safety training, and policy research. We conduct thorough evaluations and red-teaming exercises on Seed models (LLM, VLM, Audio, and Multimodal models) using real-world scenarios to identify and mitigate potential risks. In parallel, we provide hands-on safety training to enhance model behavior and refine our AI safety policy to address emerging risks and ensure compliance with global and regional standards.

Ultimately, we drive the development of more responsible AI technologies across the Seed and AI Data & Safety departments. Your Role Will Involve:

• Conduct research on the latest developments in AI safety across academia and industry.

Proactively identify limitations in existing evaluation paradigms and propose novel, defensible approaches to test and evaluate models under real-world and edge-case scenarios.

• Design and continuously refine safety evaluation guidelines for multi-models.

Define and implement robust evaluation metrics to assess safety-related behaviors, failure modes, and alignment with responsible AI principles.

• Conduct thorough analyses of safety evaluation results to surface safety issues stemming from model training, fine-tuning, or product integration.

Translate these findings into actionable insights to inform model iteration and product design improvements.

• Partner with cross-functional stakeholders to build scalable safety evaluation workflows.

Help establish feedback loops that continuously inform model development and risk mitigation strategies, and work closely with other operations teams to ensure high-quality, safety-aligned judgments, evaluation outcomes, and synthesized training data.

• Manage end-to-end project lifecycles, including scoping, planning, execution, and delivery.

Effectively allocate team resources and coordinate efforts across functions to meet project goals and timelines.

• Continuously innovate on the creation and design of new automated workflows and methodologies that ensure scalability, efficiency, and coverage within safety contexts, including for safety policy research, safety data generation, data analysis, and evaluation framework validation purposes.

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, preferably in AI Policy, Public Policy, Political Science, International Relations, Law, Philosophy, or a related discipline.
• Strong command of English in both written and oral communication.
• Strong analytical skills, with the ability to interpret both qualitative and quantitative data and translate them into clear insights.
• Proven project management abilities, with experience leading cross-functional initiatives in dynamic, fast-paced environments.
• Creative problem-solving mindset, with comfort working under ambiguity and leveraging tools and technology to improve processes and outputs.

Preferred Qualifications

• Professional experience in AI safety, Trust & Safety, Risk consulting, or Risk management.

Experience working at or with AI companies is highly desirable.

• Prior experience building scalable, automated workflows, including hands-on experience with prompt engineering, agent skills, and automated data generation pipelines.
• Intellectually curious, self-motivated, detail-oriented, and team-oriented.
• Deep interest in emerging technologies, user behavior, and the human impact of AI systems.

Enthusiasm for learning from real-world case studies and applying insights in a high-impact setting.

• Technical background that aids in the designing of automated workflows (e.g., coding) or technical knowledge of generative AI technologies are advantageous but not essential.

Job Information

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.

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.