Production Manager (Applied Artificial Intelligence)

Join LILT, a leading AI language technology company, as a Production Manager. In this role, you will be responsible for managing multiple concurrent data collection or evaluation programs, ensuring on-time delivery and first-pass acceptance targets are met. You will also oversee the hiring, onboarding, and development of project managers, implement quality interventions across programs, standardize processes, and improve software. Additionally, you will interface with cross-functional teams and manage escalations. This position offers competitive compensation, benefits, and opportunities for growth in the AI/ML industry.

• Assurer que chaque programme actif a un chef de projet responsable et que chaque chef de projet gère une charge de travail dans les limites convenues.
• Sourcing, intégration et développement de nouveaux chefs de projet pour garantir que la capacité de l'équipe de gestion de projet suit la demande signée.
• Intervenir en matière de qualité à travers les programmes pour corriger les baisses de qualité en cours de programme.

• Delivery track record: Has sustained on-time delivery and acceptance targets across multiple concurrent data collection or evaluation programs for enterprise or research lab customers
• Contractor workforce operations: Has hired, ramped, performance-managed, and offboarded hourly and freelance staff across regions and languages
• Methodology: Proven track record using Agile, Scrum, or Kanban to manage complex workflows across a portfolio of programs
• LLM knowledge: Strong understanding of LLM training processes (pre-training, SFT, RLHF) and evaluation methodologies (human-in-the-loop, red teaming), and of what drives quality and throughput in annotation workflows
• People management in AI data operations: 5+ years in AI/ML data operations or production, including 2+ years directly managing project managers or team leads in a distributed, multi-time-zone contractor environment
• Communication: Writes clear, unambiguous guidelines and feedback for multilingual audiences and communicates status, risk, and tradeoffs crisply to leadership
• KPI-driven management: Has run teams against throughput, quality (accuracy, IAA, gold-set), and cost-per-task targets; advanced proficiency with spreadsheets and dashboards, and able to use SQL to extract and analyze performance data
• Fluency in multiple human languages
• Experience with multilingual data deliveries (pre-training, SFT, RLHF, machine translation, multimodal, etc.), especially in rare-resource languages
• Experience with data annotation platforms (e.g., Label Studio, SuperAnnotate) and project management tooling (e.g., Jira)
• Background in ML engineering, computer science, or data science