Global AI Data Projects Lead

LILT (Production); Poland; A distancia; PLN 91.000 - 129.000; Jornada completa

Descripción de la vacante

LILT (Production) is seeking a data-driven Project Manager to lead large-scale multilingual data collection and LLM evaluation initiatives. You will orchestrate global teams of annotators and data specialists, optimizing workflows for productivity, quality, and throughput in a fast-paced environment.

Responsibilities include end-to-end project delivery, pipeline management, KPI tracking, and cross-functional collaboration with Applied AI teams to translate technical requirements into actionable

Formación

• 3–5+ years of PM experience in 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.

Responsabilidades

• End-to-end delivery of AI data projects from scoping to data delivery and post-mortem analysis.
• Pipeline management for multilingual data collection (audio, text, image) and LLM evaluation.
• Quality Assurance & KPI tracking for throughput, quality, productivity, and QA loops.
• Global stakeholder management and cross-functional coordination with Applied AI teams.

Conocimientos

AI/ML projects

LLM training

SQL proficiency

Agile / Scrum / Kanban

Technical writing

Herramientas

Scale AI

Super Annotate

Jira

SQL

Descripción del empleo

LILT (Production) is seeking a data-driven Project Manager to lead large-scale multilingual data collection and LLM evaluation initiatives. You will orchestrate global teams of annotators and data specialists, optimizing workflows for productivity, quality, and throughput in a fast-paced environment.

Responsibilities include end-to-end project delivery, pipeline management, KPI tracking, and cross-functional collaboration with Applied AI teams to translate technical requirements into actionable