Project Manager, Applied AI

About the Role: LILT is leading the transformation in how the world communicates using multilingual AI. We are looking for a data-driven Project Manager to lead large-scale multilingual data collection and LLM evaluation initiatives. You will serve as the operational backbone of our AI development, orchestrating global teams of annotators and data specialists to ensure high-quality throughput.

What You'll Do

• Manage the full lifecycle of AI data projects, from scoping and guideline 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, safety testing).
• Track and report on KPIs like data throughput, accuracy scores (IAA), and worker efficiency.
• Conduct quality control loops, root-cause analysis for quality dips, and provide corrective training for annotator pools.
• Liaise with Technical Ops teams to translate complex technical requirements into actionable guidelines for non-technical annotators.

What You Bring

• 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 and the ability to write SQL queries to analyze performance data.
• Proven track record of using Agile, Scrum, or Kanban methodologies to manage complex workflows.
• Exceptional communication skills, with the ability to write clear, unambiguous guidelines for multilingual audiences.
• Bonus: Fluency in a second language, experience with data annotation platforms (Scale AI, Super Annotate), and a background in ML Engineering or Data Science.

Benefits

• Earn money while building your professional network in a supportive, global community.
• Work on diverse, innovative AI projects from anywhere, at any time.
• Streamlined application process and fair, timely compensation.
• Opportunity to advance human knowledge and impact global information accessibility.