GetYourGuide

• Manage partner contacts end-to-end: Respond to inbound partner requests via email, clarify needs, and drive cases to resolution. • Deliver high-quality outcomes efficiently: Provide accurate answers, strong follow-ups, and clear next steps—without unnecessary back-and-forth. • Spot patterns and propose improvements: Flag recurring issues and friction points, and suggest practical fixes.

• Conduct thorough audits of product content to ensure accuracy, clarity, consistency, and adherence to brand guidelines. • Execute audits in line with provided audit frameworks, ensuring all required checks and criteria are applied consistently. • Identify, categorize, and document content quality issues. • Provide clear, constructive, and actionable feedback to content creators and relevant stakeholders. • Leverage various tools and software, such as Google Sheets, ensuring all data is accurately recorded and easily accessible for review. • Maintain strong organizational practices; manage workload across multiple tasks/projects, prioritize effectively, and meet deadlines reliably. • Support adjacent content-related processes such as inventory checks, general QA, and data quality assurance. • Label and annotate data according to detailed annotation guidelines to support the training and evaluation of LLMs and other machine learning models. • Ensure all labelling outputs are complete, traceable, and recorded correctly in required formats/tools.