AI, Data Annotation Specialist - Trilingual (German) | Guatemala

As an AI Data Annotation Specialist, you're the crucial link that ensures AI creates relevant advertising. You act as the human expert, carefully checking the AI's content against established guidelines and providing clear feedback, including participating in consensus discussions with other team members. An AI Data Annotation Specialist has to have a sharp eye for cultural details and know what's trending to ensure the ads are relevant to enhancing the AI's performance and quality metrics. They are our quality champions who teach our AI how to be a successful, impactful creative partner, boosting the overall success. Main Responsibilities: Understand and analyze guidelines, providing valuable insights to enhance AI performance. Assess queries following established guidelines, offering feedback and seeking clarity. Queries can include sensitive content. Comprehend statistical and quality metrics to drive performance improvement. Remain culturally aware of current cultural trends and locale-specific nuances. Collaborate with global teams, fostering cooperation, and achieving consensus on content evaluation. Constantly communicate to create clear and constructive feedback, engage in clarifying discussions, and participate in global consensus-building sessions. Ensuring messages are conveyed clearly and effectively. Taking initiative in self-learning, utilizing both formal and informal opportunities and social platforms to develop skills. Sharing knowledge and collaborating to foster continuous learning. Following guidelines precisely and assessing content accurately to ensure quality and compliance. Being meticulous, especially when evaluating sensitive content. Applying general reasoning based on knowledge and guidelines, while thinking creatively and independently beyond just depending on instructions when necessary. Understanding the user-intent, and making sense of what the business aims to achieve. Based on that, using critical thinking and cognitive skills to achieve the best results. Qualifications: Research and reading comprehension skills: Skilled at analyzing extensive data, user history to derive meaningful conclusions regarding engagement and retention Thrives in dynamic, fast-paced environments; possesses the psychological resilience to navigate complex challenges and the adaptability to turn transitions into growth opportunities. Analytical Skills: Strong analytical abilities to comprehend guidelines and provide valuable insights for AI enhancement. Communication Proficiency: Excellent communication skills to offer constructive feedback, ask clarifying questions, and engage in global discussions effectively. Continuous Learner: Commitment to staying updated with the latest trends and a proactive approach to ongoing training strategies. Culturally Aware: Awareness of current US trends and the ability to grasp locale-specific nuances within advertising templates. Critical Thinking: Ability to think critically and drive meaningful discussions towards achieving consensus and agreement within diverse teams. Attention to Detail: Strong attention to detail to ensure adherence to guidelines and accurate evaluation of queries, including sensitive content. Knowledge: English B2 - Required German B2 - Required Oral and written comprehension Appropriate use of language Familiarity with AI technologies and their ethical implementation in advertising systems, with a strong grasp of advertising regulations, platform policies, and privacy laws. Exposure to US cultural and society context Strong ability to understand written content, detect intent, and follow complex logic frameworks. High attention to detail and consistency in applying structured guidelines. Comfortable working independently under a fixed schedule in a remote environment. Studies & Experience: 1 year of University studies - Desirable 1+ years of rating experience - Desirable An academic background/work experience in Sales, Marketing, Communications, Publicity, Research, or related fields - Required Understanding of data labeling, annotation, and evaluation methodologies.- Desirable **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 applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity. Please send us your complete resume in English.