We design Spotify’s consumer experience end-to-end, moment-to-moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
We design and power the experiences that connect listeners with the audio they love. Within this space, the Content Platform team enables creators and content distributors to deliver their content seamlessly, while equipping Spotify teams with a rich and reliable catalog.
The Annotation Platform Ops team partners closely with Product and Engineering at the heart of the Content Platform R&D studio. Together, we build high-quality, interconnected datasets that power machine learning systems across Music, Podcasts, and Audiobooks combining human expertise with AI to improve how content is understood and experienced at scale.
We are looking for an Annotation Manager to help facilitate the collection of labeled datasets that Content Platform teams use to train, evaluate, and better understand models and systems. This is an exciting opportunity to work at the center of ML and AI-driven development.
We design Spotify’s consumer experience end-to-end, moment-to-moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
We design and power the experiences that connect listeners with the audio they love. Within this space, the Content Platform team enables creators and content distributors to deliver their content seamlessly, while equipping Spotify teams with a rich and reliable catalog.
The Annotation Platform Ops team partners closely with Product and Engineering at the heart of the Content Platform R&D studio. Together, we build high-quality, interconnected datasets that power machine learning systems across Music, Podcasts, and Audiobooks combining human expertise with AI to improve how content is understood and experienced at scale.
We are looking for an Annotation Manager to help facilitate the collection of labeled datasets that Content Platform teams use to train, evaluate, and better understand models and systems. This is an exciting opportunity to work at the center of ML and AI-driven development.
The United States base range for this position is $82 921,00 - 118 459,00 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
What You'll Do
Partner with Product and Engineering teams to understand annotation needs, define requirements, and prioritize use cases based on business impact
Own end-to-end annotation project delivery, including designing workflows and setting up scalable processes
Translate requirements into clear annotation guidelines, collaborating with content policy experts and updating guidance based on results
Lead training and onboarding for annotation teams, creating materials and establishing strong feedback loops
Support project launches, including annotator allocation, data readiness, and task distribution across teams
Monitor project performance using key metrics, and share insights and results with cross-functional partners
Collaborate with R&D teams to set up and run LLM-driven and AI-assisted workflows
Facilitate regular reviews with annotation teams to track progress, forecast workload, and improve performance against KPIs
Who You Are
You have experience managing annotation projects or data operations in ML/AI environments
You’re familiar with LLM or AI-driven annotation workflows and human-in-the-loop systems
You’re comfortable leading multiple projects simultaneously and navigating ambiguity across stakeholders
You bring a structured, detail-oriented approach to building and improving processes
You communicate clearly and can align technical and non-technical teams around shared goals
You collaborate effectively with cross-functional partners in fast-paced environments
You have a solid understanding of the machine learning lifecycle, from data collection to deployment
You’re comfortable working with emerging AI tools and agent workflows
You’re curious about music, podcasts, and audiobooks, and how data can improve those experiences
You have familiarity with music metadata or industry standards (nice to have)
Where You'll Be
This role is based in New York.
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.
