About us TELUS Digital AI Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work from home opportunities and Onsite jobs in many regions for people with a passion for languages. We have both part time jobs with no fixed schedule and onsite full time jobs. Whoever you are, wherever you come from, come join our global AI Community. www.telusdigital.com Tasks We are seeking a Data Quality Specialist responsible for ensuring the quality of data annotation, refining scoring rubrics, and driving process improvements. The role involves conducting data reviews, managing quality assessments, and ensuring that project workflows consistently meet high quality standards. PROJECT OVERVIEW Work style: work from office in Essen city center Working days: Monday Friday Working time: 18:00 2:30 AM Transportation assistance provided after shift Project duration: 6 months KEY RESPONSIBILITIES Assign quality scores to data, monitor workflow performance through metric analysis, identify gaps, categorize errors, and conduct trend analysis against project objectives. Conduct trial runs of data annotation protocols to gain proficiency in tools and quality assurance practices. Develop and continuously update data annotation procedures and guidelines to ensure compliance and consistency. Collaborate with clients to resolve challenges, propose workflow improvements, and enhance processes. Conduct training sessions and calibration meetings to maintain consistent annotation quality and ensure clear understanding of processes. Perform quality assessments, create and validate scoring rubrics, evaluate annotated data to ensure alignment with quality standards, and conduct statistical analysis of performance metrics to drive continuous improvement. Handle inquiries from PgMs, clarify labeling guidelines, and resolve questions about training content. Participate in weekly meetings with clients to monitor progress, generate data quality reports, analyze performance trends, and recommend actionable improvements to ensure project alignment. Profile REQUIREMENTS Min. C2 proficiency in German or Italian or Spanish Min. B2 proficiency in English Previous experience in auditing is required Must be comfortable learning and applying various quality assurance methodologies, including multi review, golden set, and manual review Ability to understand and differentiate between precision, accuracy, and recall as they pertain to quality assurance processes Advanced Google Workspace skills Awareness of ethical considerations in AI, especially in advertising Strong ability to resolve conflicts and foster collaboration