Multilingual AI Quality Specialist

What You'll Do:

• Define quality frameworks, evaluation rubrics, thresholds, and methodologies for multilingual AI experiences.
• Design and execute structured evaluations for AI-generated, AI-translated, AI-curated, and recommendation-driven experiences.
• Lead multilingual dataset curation, annotation, enrichment, and ground-truth creation to support AI model development and evaluation.
• Analyze evaluation results, identify quality gaps, and provide actionable recommendations to improve multilingual AI quality.
• Support LLM-as-a-judge workflows, evaluator calibration, and human-AI agreement studies.
• Partner closely with Product, Engineering, Data Science, Research, Localization, vendors, and market experts to improve AI quality signals and inform launch decisions.
• Document best practices and help define quality standards across languages, markets, and AI use cases.
• Contribute to building scalable evaluation capabilities that support the next generation of AI-powered experiences across Spotify.

Who You Are:

• You have experience in multilingual quality evaluation, localization, data curation, annotation, AI evaluation, or related fields, including text-to-text and text-to-speech experiences.
• You understand language quality, cultural relevance, content quality, and user experience across multiple languages and markets.
• You have experience designing or conducting structured evaluations using quality rubrics, audits, annotation projects, or review methodologies.
• You are comfortable using qualitative and quantitative data to identify trends, measure quality, and make recommendations.
• You are familiar with large language models (LLMs), generative AI evaluation, human-in-the-loop workflows, or LLM-as-a-judge methodologies.
• You enjoy working through ambiguity and turning complex quality challenges into practical evaluation strategies.
• You communicate effectively and thrive in highly cross-functional environments, collaborating with technical and non-technical partners alike.
• Experience with recommendation systems, personalization, search, ranking, machine translation, generative AI, dataset creation, annotation operations, evaluator calibration, prompt testing, model evaluation, SQL, Python, dashboards, or annotation platforms is a plus.

Where You'll Be:

• This role is based in London or Stockholm.
• We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.