Team Leader AI Operations

Deine Aufgaben

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.

• 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.

Dein Profil

• Candidates must either be a Team Member with Google Product Knowledge as Data Annotation Specialist or have at least 6 months of Team Leader experience. Candidates with 6+ months of Team Leader experience do not require Google Product Knowledge.
• Candidates must have completed the position-specific required course from the Learning Multiverse Fundamentals
• Meeting or exceeding all metrics in your current role for the last 3 months
• 95% of attendance
• No active hints for success
• Availability to work on-site
• Schedule flexibility
• 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.
• English 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
• 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.- Required
• Academic background in any social science or quality role would be a plus

Über den Arbeitgeber

TELUS Digital is the customer experience transformation partner to the world's most admired brands. Our diverse team weaves data, technology, and human ingenuity to deliver differentiated customer journeys, drive operational effectiveness, and scale AI solutions with meaningful value and positive impact.

We craft real-world solutions in the moments that matter, from customer acquisition to lifelong loyalty. Enabled by our global reach - spanning 78,000 experts in 33 countries - and deep industry expertise, we help over 600 organizations make the customer experience feel effortless.

Our solutions span Data & AI, Digital Experience & IT, CX Management and Trust & Safety. At the core of our innovation is Fuel iX™, an enterprise-grade generative AI platform that helps clients safely access and optimize leading LLMs to scale their own AI from pilot to production.

Bewerbungsprozess

Last day to apply: October 23, 2026

Before applying, please ensure that you share your most up-to-date information in your resume. This information may be part of the decision to continue with your candidacy during the initial reviews.

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicant's qualifications, merits, competence and performance without regard to any characteristic related to diversity.

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicant's qualifications, merits, competence and performance without regard to any characteristic related to diversity.