Expert Team Lead, SWE

pbThis 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, SWE based in Switzerland. /b /p pThis is a hands-on leadership opportunity focused on building and maintaining high-quality human-generated data that supports advanced AI model development. You will lead a team of AI Tutors while remaining directly involved in reviewing, evaluating, and improving technical work. The role combines people leadership, data quality, operational excellence, and software engineering expertise. You will establish quality standards, monitor performance, identify bottlenecks, and introduce scalable improvements. Working closely with data and engineering stakeholders, you will translate evolving model requirements into effective data and evaluation strategies. The environment is fast-paced, collaborative, highly autonomous, and designed for people who thrive on challenging technical problems and continuous improvement. /p br/ bAccountabilities: /b ul lipOwn end-to-end quality and delivery for assigned human data projects, personally reviewing technical work and ensuring accuracy, consistency, guideline adherence, and reliable data production at scale. /p /li lipLead, coach, and performance-manage a team of AI Tutors, including conducting performance reviews, maintaining development records, creating improvement plans, facilitating shadow sessions, and supporting ongoing professional development. /p /li lipParticipate directly in labeling, annotation, evaluation, and review activities to maintain high standards and demonstrate best practices. /p /li lipEstablish and enforce quality assurance processes, taxonomy standards, workflow guidelines, and evaluation criteria. /p /li lipMonitor operational KPIs such as quality scores, throughput, and send‑back rates, using performance data to identify bottlenecks and improve team efficiency. /p /li lipDevelop and maintain training materials, practice exercises, and certification benchmarks while managing certification processes and workforce adjustments. /p /li lipPartner with data managers, other team leads, and engineering stakeholders to translate AI model requirements into clear labeling strategies and operational processes. /p /li lipFoster a high-performance culture through effective coaching, accountability, talent development, and appropriate performance-management actions. /p /li lipDocument project outcomes, identify opportunities for process iteration, and communicate project status, risks, and results to relevant stakeholders. /p /li lipRepresent the needs and perspectives of the AI Tutor team while promoting strong collaboration across the wider human data organization. /p /li /ul h3Requirements: /h3 ul lip1+ years of hands‑on experience in data labeling, annotation, AI training or evaluation, content quality, or a comparable operational discipline. /p /li lipProfessional experience building or contributing to scalable, high‑performance technology applications, particularly in software engineering or another technical environment. /p /li lipDemonstrated understanding of data quality metrics, annotation workflows, guideline‑driven processes, and quality assurance practices. /p /li lipBasic knowledge of artificial intelligence and machine learning concepts, including how high‑quality training and evaluation data influences model performance. /p /li lipExperience with people management, coaching, training‑program development, performance management, or certification frameworks. /p /li lipPrevious experience leading small teams in data labeling, annotation, technical operations, or related environments is strongly preferred. /p /li lipAbility to manage multiple projects simultaneously, prioritize effectively, and operate successfully in a fast‑moving environment. /p /li lipStrong analytical capabilities and familiarity with KPI‑driven operational improvement; SQL experience is a plus. /p /li lipExperience working with distributed teams or mixed employment models, including full‑time employees and contractors, is advantageous. /p /li lipExcellent written and verbal communication skills, with the ability to explain complex information clearly, build rapport, and align diverse stakeholders. /p /li lipStrong organizational skills, meticulous attention to detail, proactive problem‑solving abilities, and a continuous‑improvement mindset. /p /li lipAbility to combine strategic thinking with hands‑on execution and a willingness to remain directly involved in technical and operational work. /p /li lipStrong expertise in at least one relevant technical or specialist domain, such as finance, STEM, coding/software engineering, or another technical field. /p /li lipPassion for developing high‑performing teams and scaling reliable, high‑quality human data operations. /p /li lipCandidates must be based in an eligible country supported by the organization, with India among the available locations; remo