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

Jobgether SRL; Turkey; On-site; TRY 450,000 - 750,000; Full time

Job summary

Lever, Inc. is seeking a Team Lead, Human Data Operations - Vision, Image & Video, based in Turkey. You will lead a team of AI Tutors responsible for labeling, reviewing, and evaluating visual data across image and video domains, owning quality and delivery.

This hands-on leadership role combines people management with hands-on data review, KPI dashboards, and collaboration with data, engineering, and operations teams to translate model requirements into effective data strategies.

Qualifications

• At least 1 year of hands-on data labeling or related ops.
• Bachelor’s degree or 4+ years of relevant experience.
• Experience with data quality metrics and annotation workflows.
• Familiar with Notion, Axiom, JIRA, Linear or similar tools.
• Working knowledge of AI concepts and ML data quality.
• Proven QA experience in visual media projects.
• Experience leading small teams in data labeling or QA.
• Familiarity with prompting and AI-powered image/video tools.
• Strong ability to manage multiple projects in a fast-paced environment.
• Strong analytic skills and KPI-driven improvements; SQL a plus.

Responsibilities

• Own end-to-end quality and delivery for assigned human data projects.
• Lead and coach a team of AI Tutors through regular feedback and performance reviews.
• Actively participate in labeling and review activities to maintain quality standards.
• Manage guideline adherence, taxonomy processes, QA workflows, and certification standards.
• Identify operational bottlenecks and implement improvements to increase efficiency and throughput.
• Track team and project performance through KPIs and dashboards.
• Develop, maintain, and deliver training materials, practice exercises, and certification benchmarks.
• Collaborate with Human Data Managers, other Team Leads, and Engineering to translate model requirements into labeling strategies.
• Foster a high-performance culture by developing talent and maintaining accountability.
• Document project outcomes, risks, and results, and provide regular status updates.
• Represent the needs and perspectives of AI Tutors within the wider Human Data organization.

Skills

Data labeling

Quality assurance

Team leadership

Project management

Coaching

Training programs

KPIs

AI concepts

Creativity in media

Multi-tasking

SQL basics

Education

Bachelor's degree or 4+ years exp

Tools

Notion

Axiom

JIRA

Linear

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Team Lead, Human Data Operations - Vision, Image & Video based in Turkey.

This 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.

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.