Multilingual Audio Personalization Evaluator

We are looking for experienced annotators with deep cultural, linguistic, and audio catalog expertise to help improve a major music platform’s personalized experiences across multiple languages and regions. In this role, you will create high-quality ground truth and evaluate the quality of both training data and model-generated output for various features. Your insights will help shape how listeners around the world discover and enjoy music, podcasts, and audiobooks. What You’ll DoEvaluate agentic and personalized experiences and assess search relevance & recommendations Perform complex qualitative assessments to support emerging agentic and conversational listening experiences Judge how well recommendations, responses, and UI elements reflect local culture, language norms, and audio habits Review playlist and recommendation quality, including how well results match inferred user intent and preferences Assess how realistically synthetic prompts/queries represent real user behavior and catalog usage in your region Create detailed ground truth judgments for music, podcasts, and audiobooks Validate and refine LLM-generated judgments to ensure they align with real-world user expectations and regional norms Identify inconsistencies, edge cases, and nuanced failures in model output Summarize insights & highlight risks to provide concise written and verbal summaries of your top findings, highlights, and concerns for each evaluation set Carefully review and follow project-specific instructions before starting annotation work Adapt quickly as project types rotate and priorities shift and deliver high-quality annotations within 1–2 week deadlinesRequirementsNative proficiency in Italian with deep understanding of the regional culture associated with your language, including how people in your region actually use audio streaming services Strong fluency in English (written and spoken) to communicate findings, questions, and insights with the internal team Extensive, current knowledge of music, podcasts, and audiobooks relevant to your region such as their key artists, global trends, listening habits Long-time, avid fan of music, with additional familiarity using streaming experiences for podcasts and audiobooks Could be an avid listener, musician, or songwriter; formal industry experience is NOT required 6+ months of annotation or labeling experience, ideally in complex or subjective domains Critical thinking and strong research skills to supplement your audio content knowledge Proficient with Google Workspace, especially Google Sheets, for tracking annotations and evaluations with great accuracy Open to learning and feedback with an ability to meet deadlines for 1–2 week annotation cyclesContract DetailsContract Type: Freelance Location: Italy (remote) Start Date: 15th December 2025 Duration: 1 to 2 weeks Schedule: Daily 1 hour; flexible based on client's needsProject-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy. Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise. Be part of a global contributor community with responsive guidance and support. Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills. How to Apply?Apply now by answering a few quick questions to join our database and become part of our growing community. Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr