Expert Team Lead, Engineering

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.

• 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 areas such as design, analysis, testing, research and development, or systems integration; alternatively, a Master's degree or higher in engineering or a related field.

• Basic understanding of artificial intelligence and machine learning concepts, including the role of high-quality training data in model performance.

• Advanced engineering degree such as an MS or PhD, or professional credentials such as PE or FE/EIT, is preferred.

• Demonstrated experience with data-quality metrics, annotation processes, and guideline-driven workflows.

• Breadth across multiple engineering disciplines, with the ability to credibly review technical work beyond your primary specialty.

• 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, content quality, or a similar operational field is preferred.

• Experience developing scalable, high-performance technology applications is advantageous.

• Previous experience leading small teams in data labeling, annotation, or related operational environments is preferred.

• Proven ability to manage multiple concurrent projects, prioritize effectively, and deliver in a fast-paced environment.

• Strong track record of reviewing technical or domain-specific work, maintaining data quality, and improving operational processes.

• Strong analytical capabilities and experience using data and KPIs to drive continuous improvement; SQL knowledge is a plus.

• Experience managing distributed teams or mixed employment structures, including full-time employees and contractors.

• Excellent written and verbal communication skills, with the ability to build rapport quickly and align stakeholders.

• Strong organizational skills, attention to detail, proactive problem-solving abilities, and a continuous-improvement mindset.

• Ability to combine strategic thinking with hands-on execution.

• Strong domain expertise in at least one relevant area such as Finance, STEM, Coding/Software Engineering, or another technical field.

• Passion for developing high-performing teams and scaling reliable, high-quality Human Data operations.