Manage the full lifecycle of AI data projects, from scoping and guidelines creation to data delivery and post-mortem analysis.
Oversee large-scale data pipelines for multilingual data collection (audio, text, image) and LLM evaluation (RLHF, SFT, ranking, and safety testing).
Rigorously monitor and report on key performance indicators, including throughput, quality, and productivity.
Maintain dashboards to visualize project health and flag bottlenecks in real-time.
Manage relationships with data experts and crowd pools, ensuring adherence to SLAs regarding localized nuances and linguistic accuracy.

3-5+ years of project management experience, specifically within AI/ML data operations.
Strong understanding of LLM training processes (Pre-training, SFT, RLHF) and evaluation methodologies (Human-in-the-loop, red teaming).
Advanced proficiency in Excel/Google Sheets; ability to write SQL queries to extract and analyze performance data.
Proven track record using Agile, Scrum, or Kanban methodologies to manage complex workflows.
Exceptional ability to write clear, unambiguous guidelines for multilingual audiences.
Fluency in a second language is highly desirable.
Experience with data annotation platforms (e.g. Scale AI, Super Annotate) and project management tools (e.g. Jira).
Background in ML Engineering, Computer Science, Data Science and Project Management training.

Project Manager, Applied AI

Key skills