Large Language Model Training Operations Specialist

2 weeks ago


Singapore beBeeDataScientist Full time $80,000 - $120,000

About us
We are a team focused on developing Large Language Models. Our mission is to create high-quality training data for these models, which will help them understand and generate human-like language.

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Required Skills and Qualifications
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
1-2 years of experience in project or operations management roles on software engineering teams.
1-2 years of experience with programming languages such as Python, Java, Go, or C, acquired through coding projects or technical roles.
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.

Benefits
A dynamic and collaborative work environment.
The opportunity to work on cutting-edge projects and contribute to the development of Large Language Models.
The chance to learn from experienced colleagues and develop your skills in data science and machine learning.



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