LLM Global Data - LLM Performance Operation - Safety Specialist

About ByteDance Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok 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 Us Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us. 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 how to measure and analyze performance of LLM on various dimensions. Responsibilities: - Evaluate the safety of Large Language Model (LLM)-generated responses to a large number of prompts across safety domains. - Deliver high-quality safety evaluation tasks to tight deadlines and with limited supervision. - Contribute to the development of safety evaluation question banks and best practices. - Participate in cross-functional meetings to critically discuss safety cases and response strategies. - Develop prompts that effectively test the model's safety capabilities. - Occasionally analyze evaluation results and draft reports on findings.

Minimum Qualifications: - Bachelor's or higher degree, preferably in political science, public policy, journalism, international relations, law, regional studies, or a related field. - Excellent proficiency in English with outstanding writing skills and critical thinking. - Comfortable working in a project-based fast-paced environment, where quality standards iterate quickly with research and experiment progress. Preferred Qualifications: - 0-3 years of work experience in content safety, writing, and text editing is highly valued. Experience as an RLHF annotator for leading AI/LLM companies is strongly preferred. - Candidates should be self-driven, intelligent, diligent, and collaborative. - A deep interest in LLMs, human behavior, and user experience is essential. The ideal candidate is an enthusiastic learner who finds engagement with diverse case studies stimulating. 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.