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Jobs/Account Manager Role/Spotify - Annotation Manager
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Spotify

Spotify - Annotation Manager

Remote - New York, NY$171k - $171k+ Equity3d ago
RemoteNAHealth InsuranceInsuranceAccount Manager

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Requirements

• 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. • 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. • 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.

Responsibilities

• 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

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