Team Leader in an Annotation Company

Key Responsibilities

• Lead, supervise, and motivate a team of AI annotators to achieve productivity and quality targets.

• Allocate daily annotation tasks, monitor workload distribution, and track attendance and team performance.

• Conduct quality assurance reviews to ensure annotation accuracy, consistency, and compliance with project guidelines before client delivery.

• Coordinate project execution by monitoring timelines, resolving operational challenges, and escalating issues where necessary.

• Train, mentor, and coach new and existing annotators on annotation tools, quality standards, and best practices.

• Monitor and evaluate team KPIs, including annotation accuracy, productivity, turnaround time, error rates, and quality scores, while implementing performance improvement plans.

• Serve as the primary liaison between the annotation team and project managers, communicating project updates, client feedback, and operational changes.

• Identify opportunities to improve workflows, update annotation guidelines, and implement best practices to enhance quality and efficiency.

• Ensure compliance with data security, confidentiality, and company policies while maintaining accurate project documentation and performance reports.

Qualifications & Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Science, Business, or a related field.

• Minimum of 3 years' experience in AI data annotation, data labeling, or a related operations environment, with at least 1 year in a supervisory or team leadership role.

• Proven experience managing teams, monitoring performance, and delivering projects within strict deadlines and quality standards.

• Strong understanding of quality assurance processes, performance metrics, and continuous process improvement.

• Proficiency in annotation platforms, Microsoft Office Suite (particularly Excel), Google Workspace, and project management tools.

• Excellent leadership, communication, problem-solving, coaching, and stakeholder management skills, with a strong commitment to data confidentiality and operational excellence.