Expert Team Lead, SWE

Accountabilities:

• Own 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.

• Lead, 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.

• Participate directly in labeling, annotation, evaluation, and review activities to maintain high standards and demonstrate best practices.

• Establish and enforce quality assurance processes, taxonomy standards, workflow guidelines, and evaluation criteria.

• Monitor operational KPIs such as quality scores, throughput, and send-back rates, using performance data to identify bottlenecks and improve team efficiency.

• Develop and maintain training materials, practice exercises, and certification benchmarks while managing certification processes and workforce adjustments.

• Partner with data managers, other team leads, and engineering stakeholders to translate AI model requirements into clear labeling strategies and operational processes.

• Foster a high-performance culture through effective coaching, accountability, talent development, and appropriate performance-management actions.

• Document project outcomes, identify opportunities for process iteration, and communicate project status, risks, and results to relevant stakeholders.

• Represent the needs and perspectives of the AI Tutor team while promoting strong collaboration across the wider human data organization.

Requirements:

• 1+ years of hands-on experience in data labeling, annotation, AI training or evaluation, content quality, or a comparable operational discipline.

• Professional experience building or contributing to scalable, high-performance technology applications, particularly in software engineering or another technical environment.

• Demonstrated understanding of data quality metrics, annotation workflows, guideline-driven processes, and quality assurance practices.

• Basic knowledge of artificial intelligence and machine learning concepts, including how high-quality training and evaluation data influences model performance.

• Experience with people management, coaching, training-program development, performance management, or certification frameworks.

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

• Ability to manage multiple projects simultaneously, prioritize effectively, and operate successfully in a fast-moving environment.

• Strong analytical capabilities and familiarity with KPI-driven operational improvement; SQL experience is a plus.

• Experience working with distributed teams or mixed employment models, including full-time employees and contractors, is advantageous.

• Excellent written and verbal communication skills, with the ability to explain complex information clearly, build rapport, and align diverse stakeholders.

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

• Ability to combine strategic thinking with hands-on execution and a willingness to remain directly involved in technical and operational work.

• Strong expertise in at least one relevant technical or specialist domain, 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.

• Candidates must be based in an eligible country supported by the organization, with India among the available locations; remote arrangements may also be possible depending on role and location requirements.

Benefits:

• Competitive compensation, with international compensation details shared during the recruitment process.

• Equity participation as part of the broader total rewards package, where applicable.

• Comprehensive medical, dental, and vision coverage for eligible employees.

• Retirement benefits, including access to a 401(k) plan for eligible U.S.-based positions.

• Short- and long-term disability insurance and life insurance for eligible employees.

• Paid sick leave and other applicable leave benefits, depending on location and employment type.

• Additional employee discounts, perks, and benefits that may vary by jurisdiction and employment arrangement.

• Flexible remote-work opportunities where supported by the role and local requirements.

• An intellectually challenging environment focused on advanced AI, technical excellence, and continuous learning.

• The opportunity to lead and develop a high-performing team while contributing directly to the quality and scalability of AI training and evaluation systems.

• Specific compensation, benefits, and employment details will be confirmed during the recruitment process based on location, employment type, experience, and applicable regulations.