Applied AI Project Manager: Data Pipelines & LLM Eval

Lilt---Lega-Italiana-Per-La-Lotta-Contro-I-Tumori-1; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

LILT is seeking a Technical Project Manager for our Applied AI team in the United States. You will lead large-scale multilingual data collection, human-in-the-loop workflows, and LLM evaluation initiatives, working with AI specialists, engineers, SMEs, and data operations teams to translate technical requirements into scalable data workflows.

The role blends technical project management with data analytics, unit-economics optimization, and hands-on evaluation processes central to modern LLM

Qualifications

• 3–5+ years of technical project management experience in AI/ML.
• Strong understanding of LLM training and evaluation concepts.
• Proficiency in SQL for analyzing delivery velocity and data quality.
• Experience with data pipelines, APIs, and validation processes.
• Experience partnering with engineers to manage requirements and dependencies.
• Ability to translate technical requirements for multilingual audiences.

Responsibilities

• Manage Applied AI data collection and evaluation projects from scoping through delivery.
• Translate AI requirements into structured data specifications and acceptance criteria.
• Manage timelines, dependencies, risks, and blockers across stakeholders.
• Coordinate data collection and annotation for SFT, RLHF, and model evaluation.
• Define and validate data workflows, tooling, and quality checks.
• Coordinate requirements for data formats, schemas, and metadata.
• Work with specialists to operationalize evaluation methods and issues resolution.
• Lead root-cause analysis on workflow bottlenecks and quality discrepancies.

Skills

Technical project management

AI/ML

SQL

Data pipelines

Agile/Scrum/Kanban

Multilingual collaboration

Communication

Tools

Jira

BI tools

Python

Job description

LILT is seeking a Technical Project Manager for our Applied AI team in the United States. You will lead large-scale multilingual data collection, human-in-the-loop workflows, and LLM evaluation initiatives, working with AI specialists, engineers, SMEs, and data operations teams to translate technical requirements into scalable data workflows.

The role blends technical project management with data analytics, unit-economics optimization, and hands-on evaluation processes central to modern LLM