pThis is a hands-on leadership opportunity focused on building high-quality human data for advanced AI systems. You will lead and develop a team of AI Tutors responsible for labeling, reviewing, and evaluating visual data across image and video domains. You will own quality and delivery, establish strong operational standards, and ensure that project guidelines are consistently followed. The role combines people leadership with direct involvement in data review and quality assurance. You will use KPIs and operational insights to identify bottlenecks, improve workflows, and scale efficient processes. Working closely with data, engineering, and operations teams, you will help translate AI model requirements into effective data strategies. /p h3Accountabilities /h3 ul liOwn 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 liLead, coach, and performance-manage a team of AI Tutors through regular feedback, performance reviews, action plans, shadow sessions, and continuous development. /li liActively participate in labeling and review activities to maintain quality standards and demonstrate best practices. /li liManage guideline adherence, taxonomy processes, quality assurance workflows, and certification standards. /li liIdentify operational bottlenecks and implement improvements that increase efficiency, quality, and throughput. /li liTrack team and project performance through KPIs and dashboards, including quality metrics, throughput, and send-back rates. /li liDevelop, maintain, and deliver training materials, practice exercises, and certification benchmarks; oversee certifications and workforce adjustments. /li liPartner with Human Data Managers, other Team Leads, and Engineering to translate AI model requirements into clear labeling strategies and operational guidelines. /li liFoster a high-performance culture by developing talent, maintaining accountability, and supporting performance or disciplinary processes when required. /li liDocument project outcomes, risks, and results, recommend process improvements,



and provide regular status updates. /li liRepresent the needs and perspectives of AI Tutors while promoting collaboration across the wider Human Data organization. /li /ul h3Requirements /h3 ul liAt least 1 year of hands-on experience in data labeling, annotation, AI training or evaluation, content quality, or a related operational field. /li liBachelor's degree or at least 4 years of relevant professional experience in lieu of a degree. /li liExperience working with data quality metrics, annotation workflows, and guideline-driven processes. /li liFamiliarity with project management and collaboration tools such as Notion, Axiom, JIRA, Linear, or equivalent platforms. /li liWorking knowledge of AI and machine learning concepts, particularly the role of high-quality training data in model performance. /li liDemonstrated quality assurance experience in creative, visual, or media-related projects. /li liExperience in a creative discipline such as photography, graphic design, filmmaking, video editing, or visual effects is a strong advantage. /li liPrevious experience leading small teams in data labeling, annotation, quality assurance, or related operations is preferred. /li liFamiliarity with prompting and AI-powered image or video generation tools is a plus. /li liStrong ability to manage multiple projects, prioritize effectively, and perform in a fast-paced environment. /li liExperience with coaching, performance management, training programs, or certification frameworks is preferred. /li liStrong analytical skills and experience using metrics and KPIs to drive operational improvements; SQL knowledge is a plus. /li liExperience managing distributed or geographically dispersed teams is advantageous.



/li liExcellent written and verbal communication skills, with the ability to build trust and align stakeholders effectively. /li liStrong organizational skills, attention to detail, proactive problem-solving abilities, and a continuous-improvement mindset. /li liAbility to combine strategic thinking with hands-on execution and a passion for developing high-performing teams. /li liCandidates 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 /ul h3Benefits /h3 ul liInternational candidates receive compensation details during the recruitment process. /li liU.S.-based compensation for comparable positions ranges from b$104,000 to $156,000 USD /b, depending on experience, skills, education, location, and qualifications. /li liEquity opportunities may be included as part of the overall rewards package. /li liComprehensive medical, vision, and dental coverage may be available to eligible employees. /li liAccess to a 401(k) retirement plan for eligible U.S.-based employees. /li liShort- and long-term disability insurance and life insurance. /li liPaid sick leave and additional employee discounts and perks, where applicable. /li liBenefits and compensation vary according to employment type, location, and local regulations. /li liSpecific compensation, benefits, and employment details are provided during the recruitment and interview process. /li /ul h3How Jobgether works /h3 pWe use an bAI-powered matching process /b to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. /p pWe appreciate your interest and wish you the best! /p #J-18808-Ljbffr

📌 Team Lead, Human Data Operations - Vision, Image & Video (Italia)
🏢 Lever
📍 Italia