Why This Job is Featured on The SaaS Jobs
This role sits at a point where modern SaaS products increasingly differentiate through data and model quality, not just feature velocity. Within Spotify’s Content Platform, annotation QA is tied to how reliably machine learning systems interpret catalog and content signals across music, podcasts, and audiobooks. That makes the work relevant to SaaS teams building AI-assisted experiences that must remain consistent across many surfaces and integrations.
For a SaaS career, annotation QA develops durable instincts around operationalizing ML: defining measurable quality, handling ambiguous edge cases, and creating feedback loops that improve both guidelines and downstream systems. The emphasis on agreement rates, consensus, and policy alignment mirrors how SaaS organizations scale human-in-the-loop workflows while keeping outputs auditable. Experience communicating findings to technical and non-technical partners is also broadly transferable across product analytics, ML operations, and platform governance roles.
The role is best suited to professionals who enjoy structured evaluation work and can stay rigorous when context shifts across domains and modalities. It favors someone comfortable moving between detailed review and higher-level process improvement, and who prefers collaborating closely with product, engineering, and policy stakeholders to reduce ambiguity rather than treating QA as a final gate.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
To power the best audio network in the world by enabling creators and content distributors to deliver their content frictionlessly and equip Spotify teams with the richest possible catalog. That’s what the Content Platform team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users worldwide, bringing the music and audio they love to the devices, apps and platforms they use every day.
The Annotation Platform Ops team works alongside Product and Engineering teams at the heart of the Content Platform R&D studio to develop rich, interconnected datasets that enable delightful consumer experiences through a fusion of machine and human expertise. We focus on use cases across all of Spotify’s domains - Music, Podcasts, and Audiobooks.
We are seeking an Annotation QA Analyst to help create a broad 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.
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What You'll Do
- Review annotated data to ensure it meets Spotify’s quality standards and policies, prioritizing work based on business needs
- Deliver high-quality, timely results for Product and Engineering teams using established QA frameworks and metrics such as agreement rates and consensus
- Handle complex edge cases, helping define ground truth and reduce ambiguity across datasets
- Identify patterns, insights, and areas for improvement, and communicate findings clearly to both technical and non-technical partners
- Contribute to feedback loops between annotation teams, R&D collaborators, and content policy experts to improve workflows and outputs
- Help develop and refine annotation guidelines, supporting annotator training and continuous improvement
- Collaborate closely with teammates across multiple projects and domains
Who You Are
- You have experience working with annotation, data quality, or QA processes in ML/AI environments
- You’re familiar with LLM or AI-driven annotation workflows and human-in-the-loop systems
- You’re comfortable reviewing large-scale datasets across different modalities such as text, audio, images, or video
- You care about quality and consistency, and bring a structured approach to evaluating data
- You communicate clearly and can explain complex ideas in a simple, accessible way
- You collaborate well with cross-functional partners in fast-moving 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 bring curiosity and interest in music, podcasts, or audiobooks
- You have familiarity with SQL or music metadata 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.
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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.
