Global LLM Data - LLM Training Operation Coding Analyst

Global LLM Data - LLM Training Operation Coding Analyst

2 weeks ago Be among the first 25 applicants

• 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.
• Build and maintain strong relationships with product managers, engineers, researchers, data annotators, and other cross-functional team members.
• Coordinate meetings and discussions with global teams to ensure seamless project execution and work with external vendors and trainers per project demands.
• Design, manage, and optimize workflows for coding-focused LLM training projects, including training design, QA processes, and performance tracking.
• Conduct quality and productivity improvement experiments to enhance operational processes for code-related training data.
• Design and implement data analysis strategies for LLM coding projects, using statistical and programmatic methods.
• Collaborate with researchers to inform training strategies and data improvements.
• Provide mentorship and guidance to team members, helping to develop their skills and ensuring the delivery of high-quality outputs.

• 3+ years of experience in project or operations management roles.
• Experience with programming languages such as Python, Java, Go, or
  
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• 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.
• Ability to balance independent judgment with collaborative teamwork in a fast-paced, project-based environment.

• Experience in RLHF annotation and working with leading AI/LLM companies on technical projects.
• Experience with codebases, software development processes, coding best practices, and version control systems (e.g., Git).
• Proficiency 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.
• Deep interest in LLMs, computational thinking, and ability to adapt to a high‑intensity work environment.
• Enthusiasm for learning, engaging with diverse technical case studies, working with global teams, and comfort with technology tools that enhance project performance.
• Proficiency in Mandarin Chinese (reading and speaking) to effectively communicate with Chinese-speaking global teams.

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