NOTE: If you want to learn more about the application process for global positions or positions in another TELUS Digital location, please contact your local HR or Talent Acquisition team. 

As the Team Leader, you will lead a dynamic team that plays a pivotal role in refining and enhancing AI-powered advertising systems, while your role ensures their success. You will be at the forefront of supporting the creation of exceptional data-driven products in an uncharted domain. Your leadership will drive the team's resourcefulness, adaptability, and innovation as they navigate challenges and shape the future of AI-driven advertising.

Main Responsibilities:

• Mentor, guide, and facilitate the growth of Expert Raters, enabling their proficiency in evaluating advertising content while ensuring adherence to AI compliance standards.

• Effectively manage and coordinate global teams, whether remotely or within an office setting, ensuring seamless operations and communication across different time zones and cultures, while facilitating a culture of learning and exploration within the team.

• Handle administrative tasks, including but not limited to payroll management, PTO (Paid Time Off) requests, and performance reviews for the Expert Rater team, ensuring smooth operations.

• Lead initiatives aimed at improving the quality of evaluations, refining processes, and guaranteeing that Expert Raters meet the highest standards of AI compliance.

• Ensure that all assessments and evaluations conducted by the team align with ethical considerations and compliance with AI standards, regulations, and platform policies.

• Implement strategies to track and monitor the performance of Expert Raters, offering support and guidance to enhance their capabilities and efficiency.

• Provide expertise and guidance in analyzing diverse datasets to help identify meaningful patterns and trends, contributing to accurate evaluations and decisions.

• Collaborate with other Team Leads across all regions to establish and maintain best practices and standardization, ensuring global product strategy is followed by their local teams.

Qualifications: 

• Leadership Skills: Proven ability to lead and develop teams, fostering a culture of growth, accountability, and compliance in a global environment.

• Problem-Solving Aptitude: Strong problem-solving skills to address challenges, optimize workflows, and ensure 100% AI compliance.

• Performance Management Expertise: Experience in developing and implementing performance management systems, conducting evaluations, and providing constructive feedback for team enhancement.

• High Emotional Safety: Ability to navigate and resolve disagreements effectively, fostering collaborative solutions among global cross-functional teams. While also able to manage teams that handle queries that can include sensitive or “taboo” content.

• Communication Skills: Clear and concise communication, both written and verbal, to explain evaluations and propose innovative solutions. Able to convey complex technical concepts in a clear and accessible manner.

• Familiarity with Annotation Guidelines: Understanding of annotation guidelines and best practices, ensuring consistent and accurate labeling of data.

• Adaptability: Ability to thrive in an evolving environment, readily adapting to changing processes and contributing valuable insights for process enhancement.

Knowledge:

• English B2 - German B2 Required

  • Oral and written comprehension

  • Appropriate use of language

• Google Workspace- Intermediate

• Familiarity with AI technologies and their ethical implementation in advertising systems, with strong grasp of advertising regulations, platform policies, and privacy laws.

• Awareness of ethical considerations in advertising content evaluation, particularly when handling sensitive or controversial material.

• Google AI learning path - Desirable 

• Machine learning - Desirable

Studies & Experience:

• 1 year of University studies - Desirable 

• 1+ years of previous experience in a leadership role, preferably within a technical or data-driven domain. - Required

• Understanding of data labeling, annotation, and evaluation methodologies.- Desirable

• Academic background in any social science or quality role would be a plus

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