Position listed on behalf of a partner company that manages all applications and next steps.
Looking for an Expert Team Lead, Engineering based in Switzerland.
Responsibilities
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.
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, throughput, and send-back rates.
Create, maintain, and deliver training materials, practice exercises, and certification benchmark tasks.
Manage certification processes and make appropriate workforce adjustments.
Collaborate with Human Data Managers, other Team Leads, and Engineering teams to translate model requirements into clear labeling strategies and operational guidelines.
Document project outcomes, recommend process iterations, and communicate project status, risks, and results.
Requirements
Bachelor's degree or higher in Mechanical, Electrical, Chemical, Civil, Environmental, or another closely related engineering discipline.
At least 2 years of professional engineering experience in design, analysis, testing, R&D, or systems integration; alternatively, a Master's degree or higher in engineering.
Basic understanding of artificial intelligence and machine learning concepts.
Advanced engineering degree (MS or PhD) or professional credentials such as PE or FE/EIT preferred.
Demonstrated experience with data-quality metrics, annotation processes, and guideline-driven workflows.
Breadth across multiple engineering disciplines.
Experience with performance management, coaching, training program development, or certification frameworks.
At least 1 year of hands-on experience in data labeling, annotation, AI training or evaluation, or content quality preferred.
Experience developing scalable, high-performance technology applications is advantageous.
Previous experience leading small teams in data labeling or annotation preferred.
Proven ability to manage multiple concurrent projects and deliver in a fast-paced environment.
Strong analytical capabilities and experience using data and KPIs; SQL knowledge is a plus.
Experience managing distributed teams or mixed employment structures.
Excellent written and verbal communication skills.
Strong domain expertise in at least one area such as Finance, STEM, Coding/Software Engineering.
Conditions
Competitive compensation, with international salary details provided during the recruitment process.
For eligible U.S.-based positions, base salary ranges from $104,000 to $170,400 USD.
Equity opportunities as part of the overall rewards package.
Comprehensive medical, dental, and vision coverage.
Access to a 401(k) retirement plan for eligible U.S.-based positions.
Short- and long-term disability insurance.
Life insurance.
Paid sick leave for eligible U.S.-based positions.