LLM Training Operation (Reasoning and Knowledge) - 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, Helo, and Resso, 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. 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. After completing your rotation, you will have the chance to select your area of expertise. Your Role Will Involve: 1. Gaining direct experience in data production, including drafting, revising, and quality-checking, to understand the synergy between humans and data in LLM training. 2. Developing specialized skills in one of our data and content domains (including but not limited to language, reasoning and safety * SFT/RM). 3. Delivering high-quality annotation independently with limited supervision. 4. Checking annotation quality and providing mentorship and guidance to internal colleagues and external partners on specific topics following successful incubation. 5. Drafting and managing annotation guidelines and casebooks for specific annotation projects and tasks.

Minimum Qualifications: 1. Excellent proficiency in English with outstanding writing and critique skills. 2. Comfortable working in a project-based fast-paced environment, where quality standards iterate quickly with research and experiment progress. Preferred Qualifications: 1. At least 2 working years of experience in journalism, teaching, writing, text editing is highly valued. Experience as RLHF annotators for leading AI/LLM companies is strongly preferred. 2. Candidates should be self-driven, intelligent, diligent, and skilled in providing mentorship and guidance to more new members of the team. 3. 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 and annotators stimulating. Note: This role requires a paper test prior to interviews. 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.