LLM Training Operation 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 Seed Global Data team, you will manage and deliver high‑quality LLM training projects with precision and efficiency, ensuring operational processes support scalable and reliable data production. You will also mentor and upskill team members, elevating performance and output. - The LLM Training Operations Analyst orchestrates end‑to‑end LLM training workflows, integrating evaluation practices at every stage and translating ambiguous requirements into executable tasks through robust QA and cross‑functional collaboration.

Key Responsibilities and Duties:
- Project & Workflow Management: Design, run, and optimize multiple LLM training workflows; own timelines and quality protocols through effective collaboration with researchers, product managers, and internal/external training teams. Offer flexible availability to accommodate discussion meetings with global teams.
- Prompt Engineering & Automation: Craft and refine prompt engineering frameworks and scripts for training, evaluation, and workflow automation to improve model outcomes and operational efficiency.
- Data Analysis & Reporting: Analyze operational data and build dynamic dashboards; compile quantitative and qualitative reports to inform high-value, strategic insights congruent with organizational goals.
- Operational Improvement & Standardization: Run quality and productivity experiments; develop living guidelines that establish and iteratively refine standard operating procedures.
- Task Specs: Document clear task specifications, including inputs, outputs, constraints, and context.
- Team Mentorship and Collaboration: Develop team capabilities through coaching; promote knowledge sharing and best‑practice adoption for high‑quality delivery.

The base salary range for this position in the selected city is $83600 - $143556 annually.