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

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)

Annotation Manager – Content Platform

Key skills