Training Operation Coding Analyst - Seed Global Data

About the team Seed Global Data is a team focused on producing international data for LLMs. For the training of large models, data is the lifeline of model quality — and the Global Data team is working closely with technical, product, and operations teams to ensure effective data production strategies and execution management. As a key member of our LLM Global Data Team, the LLM Training Operations Analyst will play a pivotal role in managing the intricate processes involved in training large language models (LLMs) with diverse coding datasets. This role focuses on overseeing and improving operational workflows, primarily for safety-related projects, ensuring they are delivered with high quality and efficiency. Job Responsibilities - Driving complex, fast-paced, cross-functional projects from incubation to execution. You will be responsible for designing and managing multiple Large Language Model (LLM) training projects (mostly coding-based but may involve other STEM related projects). - Coordinating across functions (including product managers, engineers, and internal or external content experts), planning workflows, tracking progress, identifying risks and taking necessary corrective actions to ensure high-quality, timely project delivery. - Working closely with your leads, product managers and engineers to design, test, and optimize operational workflows including model training strategies, quality assurance processes and productivity enhancements. - Analyzing operational and model training or performance data to provide actionable insights through reports and presentations to stakeholders, driving future model training directions or adjustments. - Designing and implementing robust data analysis strategies to systematically evaluate the quality of training and validation sets. - Leading or supporting cross-domain operational improvement initiatives to optimize processes, share transferrable learnings and scale the generation of high-quality data. Minimum Qualifications 1. Bachelor's degree and above in Computer Science or related technical fields. 2. 1-2 years of practical experience in multiple programming languages (such as Python/Java/Go/C/C++) acquired through coding hackathons or past work / internship experience. 3. Possess excellent communication and problem-solving abilities, capable of clearly comprehending and articulating code-related concepts to the layman. 4. Exhibits exceptional proficiency in both English and Mandarin, with strong written and verbal communication skills essential for collaborating with internal teams and stakeholders in English and Mandarin-speaking regions. 5. Deep interest in language models, computational thinking, and ability to adapt to a high-intensity, rapidly evolving work environment with an objective-driven mindset. 6. Familiar and able to work with markup and typesetting languages: HTML, LaTex and Markdown. Preferred Qualifications 1. Winner or Runner-up in regional or internationally recognized coding competitions (such as those hosted by Codeforces, ICPC, etc.). 2. Previous work experience with leading AI/Language Model companies on technical or annotation projects, familiarity with code repository management and software development processes, mastery of best practices and version control systems (such as Git), and understanding of full-stack development concepts, including front-end interface, back-end logic, and database integration. 3. 1-2 years experience in project or operations management roles in software engineering teams, possessing strong project management skills to design, manage, and proactively optimize complex workflows, while balancing independent judgment with collaborative teamwork in a fast-paced, project-based environment. 4. Previous experience working with global teams, and comfort with using and developing creative tools that enhance project efficiency. 5. Academic proficiency in other STEM-related backgrounds like Math, Physics, Chemistry, Biology or E…