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Expert Team Lead, Engineering

Pubblicato il 03-10-2026 - Lever in Italia

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Expert Team Lead, Engineering based in Italy.
As an Expert Team Lead, Engineering, you will lead a team responsible for producing high‑quality training data and evaluations that support advanced AI models. You will combine engineering expertise with hands‑on team leadership, quality assurance, and operational excellence. The role requires you to personally review technical work while establishing consistent standards for accuracy, quality, and guideline adherence. You will coach and develop AI Tutors, manage performance, and build effective training and certification programs. Working closely with Human Data and Engineering teams, you will translate model requirements into clear labeling strategies and workflows. You will use operational metrics to identify bottlenecks, improve efficiency, and continuously raise data quality.



This is an opportunity to apply engineering knowledge to the development of sophisticated AI systems while helping scale high‑performing human data operations.
Accountabilities
- Own end-to-end quality and delivery for assigned Human Data projects, personally reviewing engineering‑domain work and ensuring accuracy, consistency, guideline adherence, and high‑quality data production at scale.
- Lead, coach, and performance‑manage a team of AI Tutors, including full‑time employees and contractors, through regular reviews, action plans, shadow sessions, and continuous improvement initiatives.
- Oversee and actively participate in labeling and review activities to maintain high standards and demonstrate effective working practices.
- Ensure consistent adherence to project guidelines, taxonomies, and quality assurance processes.
- Identify operational bottlenecks and implement process improvements to increase efficiency, quality, and throughput.
- Monitor performance through KPI dashboards, using metrics such as quality,

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