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

<h3>Accountabilities:</h3><li>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.</li><li>Lead, coach, and performance-manage a team of AI Tutors through regular feedback, performance reviews, action plans, shadow sessions, and continuous development.</li><li>Actively participate in labeling and review activities to maintain quality standards and demonstrate best practices.</li><li>Manage guideline adherence, taxonomy processes, quality assurance workflows, and certification standards.</li><li>Identify operational bottlenecks and implement improvements that increase efficiency, quality, and throughput.</li><li>Track team and project performance through KPIs and dashboards, including quality metrics, throughput, and send-back rates.</li><li>Develop, maintain, and deliver training materials, practice exercises, and certification benchmarks; oversee certifications and workforce adjustments.</li><li>Partner with Human Data Managers, other Team Leads, and Engineering to translate AI model requirements into clear labeling strategies and operational guidelines.</li><li>Foster a high-performance culture by developing talent, maintaining accountability, and supporting performance or disciplinary processes when required.</li><li>Document project outcomes, risks, and results, recommend process improvements, and provide regular status updates.</li><li>Represent the needs and perspectives of AI Tutors while promoting collaboration across the wider Human Data organization.</li><h2>Requirements:</h2><li>At least 1 year of hands-on experience in data labeling, annotation, AI training or evaluation, content quality, or a related operational field.</li><li>Bachelor’s degree or at least 4 years of relevant professional experience in lieu of a degree.</li><li>Experience working with data quality metrics, annotation workflows, and guideline-driven processes.</li><li>Familiarity with project management and collaboration tools such as Notion, Axiom, JIRA, Linear, or equivalent platforms.</li><li>Working knowledge of AI and machine learning concepts, particularly the role of high-quality training data in model performance.</li><li>Demonstrated quality assurance experience in creative, visual, or media-related projects.</li><li>Experience in a creative discipline such as photography, graphic design, filmmaking, video editing, or visual effects is a strong advantage.</li><li>Previous experience leading small teams in data labeling, annotation, quality assurance, or related operations is preferred.</li><li>Familiarity with prompting and AI-powered image or video generation tools is a plus.</li><li>Strong ability to manage multiple projects, prioritize effectively, and perform in a fast-paced environment.</li><li>Experience with coaching, performance management, training programs, or certification frameworks is preferred.</li><li>Strong analytical skills and experience using metrics and KPIs to drive operational improvements; SQL knowledge is a plus.</li><li>Experience managing distributed or geographically dispersed teams is advantageous.</li><li>Excellent written and verbal communication skills, with the ability to build trust and align stakeholders effectively.</li><li>Strong organizational skills, attention to detail, proactive problem-solving abilities, and a continuous-improvement mindset.</li><li>Ability to combine strategic thinking with hands-on execution and a passion for developing high-performing teams.</li><li>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.</li><h2>Benefits:</h2><li>International candidates receive compensation details during the recruitment process.</li><li>U.S.-based compensation for comparable positions ranges from<strong>$104,000 to $156,000 USD</strong>, depending on experience, skills, education, location, and qualifications.</li><li>Equity opportunities may be included as part of the overall rewards package.</li><li>Comprehensive medical, vision, and dental coverage may be available to eligible employees.</li><li>Access to a 401(k) retirement plan for eligible U.S.-based employees.</li><li>Short- and long-term disability insurance and life insurance.</li><li>Paid sick leave and additional employee discounts and perks, where applicable.</li><li>Benefits and compensation vary according to employment type, location, and local regulations.</li><li>Specific compensation, benefits, and employment details are provided during the recruitment and interview process.</li>