Team Lead, Human Data Operations - Vision, Image & Video

Accountabilities:

• Own end-to-end quality and delivery for assigned human data projects, personally reviewing work to ensure accuracy, consistency, guideline adherence, and high-quality output at scale.


• Lead, coach, and performance-manage a team of AI Tutors through regular feedback, performance reviews, action plans, shadow sessions, and continuous development.


• Actively participate in labeling and review activities to maintain quality standards and demonstrate best practices.


• Manage guideline adherence, taxonomy processes, quality assurance workflows, and certification standards.


• Identify operational bottlenecks and implement improvements that increase efficiency, quality, and throughput.


• Track team and project performance through KPIs and dashboards, including quality metrics, throughput, and send-back rates.


• Develop, maintain, and deliver training materials, practice exercises, and certification benchmarks; oversee certifications and workforce adjustments.


• Partner with Human Data Managers, other Team Leads, and Engineering to translate AI model requirements into clear labeling strategies and operational guidelines.


• Foster a high-performance culture by developing talent, maintaining accountability, and supporting performance or disciplinary processes when required.


• Document project outcomes, risks, and results, recommend process improvements, and provide regular status updates.


• Represent the needs and perspectives of AI Tutors while promoting collaboration across the wider Human Data organization.

Requirements

• At least 1 year of hands-on experience in data labeling, annotation, AI training or evaluation, content quality, or a related operational field.


• Bachelor’s degree or at least 4 years of relevant professional experience in lieu of a degree.


• Experience working with data quality metrics, annotation workflows, and guideline-driven processes.


• Familiarity with project management and collaboration tools such as Notion, Axiom, JIRA, Linear, or equivalent platforms.


• Working knowledge of AI and machine learning concepts, particularly the role of high-quality training data in model performance.


• Demonstrated quality assurance experience in creative, visual, or media-related projects.


• Experience in a creative discipline such as photography, graphic design, filmmaking, video editing, or visual effects is a strong advantage.


• Previous experience leading small teams in data labeling, annotation, quality assurance, or related operations is preferred.


• Familiarity with prompting and AI-powered image or video generation tools is a plus.


• Strong ability to manage multiple projects, prioritize effectively, and perform in a fast-paced environment.


• Experience with coaching, performance management, training programs, or certification frameworks is preferred.


• Strong analytical skills and experience using metrics and KPIs to drive operational improvements; SQL knowledge is a plus.


• Experience managing distributed or geographically dispersed teams is advantageous.


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


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


• Ability to combine strategic thinking with hands-on execution and a passion for developing high-performing teams.


• Candidates must be based in an eligible location where the organization has a physical presence; remote work may be available depending on location and employment arrangements. Eligible locations include the United States, Dubai, Ireland, United Kingdom, Japan, India, Indonesia, South Korea, the Philippines, and Singapore.

• International candidates receive compensation details during the recruitment process.


• U.S.-based compensation for comparable positions ranges from $104,000 to $156,000 USD, depending on experience, skills, education, location, and qualifications.


• Equity opportunities may be included as part of the overall rewards package.


• Comprehensive medical, vision, and dental coverage may be available to eligible employees.


• Access to a 401(k) retirement plan for eligible U.S.-based employees.


• Short- and long-term disability insurance and life insurance.


• Paid sick leave and additional employee discounts and perks, where applicable.


• Benefits and compensation vary according to employment type, location, and local regulations.


• Specific compensation, benefits, and employment details are provided during the recruitment and interview process.

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