Annotation QA Analyst - Content Platform

Spotify • New York, NY

15h • $82,921 - $118,459 • Hybrid

About The Position

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.

Requirements

• Experience working with annotation, data quality, or QA processes in ML/AI environments
• Familiarity with LLM or AI-driven annotation workflows and human-in-the-loop systems
• Comfortable reviewing large-scale datasets across different modalities such as text, audio, images, or video
• Care about quality and consistency, and bring a structured approach to evaluating data
• Communicate clearly and can explain complex ideas in a simple, accessible way
• Collaborate well with cross-functional partners in fast-moving environments
• Solid understanding of the machine learning lifecycle, from data collection to deployment
• Comfortable working with emerging AI tools and agent workflows
• Curiosity and interest in music, podcasts, or audiobooks

Nice To Haves

• Familiarity with SQL or music metadata standards

Responsibilities

• 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

Benefits

• health insurance
• six month paid parental leave
• 401(k) retirement plan
• monthly meal allowance
• 23 paid days off
• 13 paid flexible holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees