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Llm Training Operation Coding Analyst
2 weeks ago
**LLM Training Operation Coding Analyst - Seed Global Data**:
**Location**:
- Singapore**Team**:
- User ops**Employment Type**:
- Regular**Job Code**:
- A169555**Responsibilities**
- 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 code-related projects, ensuring they are delivered with high quality and efficiency. Your Role Will Involve - Project Management: Lead and manage multiple coding-focused LLM training projects, ensuring timelines, quality standards, and objectives are met. Track project progress, identify risks, and implement corrective actions as necessary to keep projects on course. Build and maintain strong relationships with product managers, researchers, data annotators, and other cross-functional team members. Communicate project updates, address concerns, and align expectations to ensure successful project outcomes. Coordinate meetings and discussions with global teams to ensure seamless project execution and work with external vendors and trainers per project demands. - Workflow Design and Management: Design, manage, and optimize workflows for coding-focused LLM training projects, including training design, QA processes, and performance tracking to meet project needs. Collaborate closely with product managers, project leaders and cross-functional teams to ensure alignment on quality metrics and project expectations. - Operational Improvement: Conduct quality and productivity improvement experiments to enhance operational processes for code-related training data. Lead and support general annotation operation improvement initiatives across various data domains. Develop and maintain technical guidelines and casebooks to support consistent, high-quality data production. - Data Checking and Analysis: Design and implement robust data analysis strategies to evaluate training and evaluation datasets for LLM projects in the coding domain. Analyze annotation quality, model performance, and dataset coverage using statistical, visual, and programmatic methods. Identify data gaps, edge cases, and failure patterns by conducting slice-based evaluations, prompt sensitivity tests, and cluster-based error analysis. Utilize tools such as Python (Pandas, NumPy, Matplotlib) and SQL to generate actionable insights, monitor data pipeline health, and support model training operations. Collaborate with model trainers and researchers to inform training strategies and guide data-centric iterative improvements. - Team Leadership and Collaboration: Provide mentorship and guidance to team members, helping to develop their skills and ensuring the delivery of high-quality outputs. Foster a collaborative environment where team members can share knowledge and best practices to improve overall performance.
**Qualifications**
- Minimum Qualifications - Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. - 2+ years of experience in project or operations management roles on software engineering teams. - 2+ years of experience with front-end programming languages such as JS (Javascript), HTML, React, etc., acquired through coding projects or technical roles. - Strong Professional communication skills in Chinese mandarin, to engage effectively with internal and external stakeholders that are based in Mandarin-speaking markets - Strong communication and problem-solving skills with the ability to understand and convey code-related concepts effectively. - Strong project management skills, with the ability to design, manage, and optimize complex workflows. - Deep interest in LLMs, computational thinking, and ability to adapt to a high-intensity work environment. Preferred Qualifications - Ability to balance independent judgment with collaborative teamwork in a fast-paced, project-based environment. - Experience in competitive coding such as Codeforce, CPC at regional or international level. - Experience in RLHF annotation and working with leading AI/LLM companies on technical projects. - Experience with codebases and understanding of software development processes, coding best practices, and version control systems (e.g., Git). Familiarity with full-stack concepts, including front-end interfaces, back-end logic, and database integration. - Proven ability to lead and mentor junior team members in data-related or AI/LLM projects. - Enthusiasm for learning, engaging with diverse technical case studies, worki
