Expert Team Lead, Engineering

Xapply; Schweiz; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Xapply in Switzerland seeks an Expert Team Lead, Engineering to lead a team producing high-quality training data and evaluations for advanced AI models. You will combine engineering expertise with hands-on leadership, establish standards for quality and guidelines, coach AI Tutors, and translate model requirements into labeling strategies and workflows.

Working with Human Data and Engineering teams, you will use metrics to identify bottlenecks, improve efficiency, and raise data quality while

Aufgaben

• Lead a team producing high-quality training data and evaluations for advanced AI models.
• Review technical work personally and establish consistent standards for accuracy, quality, and guideline adherence.
• Coach and develop AI Tutors, manage performance, and build training and certification programs.
• Collaborate with Human Data and Engineering teams to translate model requirements into clear labeling strategies and workflows.
• Use operational metrics to identify bottlenecks, improve efficiency, and raise data quality.

Jobbeschreibung

Description:

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 Switzerland.

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.