
10,000+ employees
📱 Media
📡 Telecommunications
Media • Entertainment • Telecommunications
Warner Bros. Discovery is a global media and entertainment company known for producing and distributing films, television shows, and other content across various platforms. It operates various well-known brands and franchises, offering a broad range of entertainment to audiences around the world.
🕒 May 15
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10,000+ employees
📱 Media
📡 Telecommunications
Media • Entertainment • Telecommunications
Warner Bros. Discovery is a global media and entertainment company known for producing and distributing films, television shows, and other content across various platforms. It operates various well-known brands and franchises, offering a broad range of entertainment to audiences around the world.
• Design, build, iterate on, and maintain prompts for production AI features including article summaries, content classification, brand safety classification, and new features as they launch. • Design evaluation criteria and workflows for AI features. • Define what "good" looks like for each use case, build evaluation datasets, run quality assessments, and track accuracy over time. • Design and execute workflows for human feedback on AI outputs. • Partner closely with engineers on your team who own the technical implementation of AI features.
• 2–4 years of experience in content operations, content classification, editorial workflows, taxonomy management, or a related field • Demonstrated experience with prompt engineering for large language models in a professional or academic setting • Experience designing evaluation criteria or quality assessment workflows for content or AI outputs • Strong understanding of how LLMs work — including their capabilities, limitations, stochastic behavior, and cost implications • Excellent written and verbal communication skills, with the ability to explain technical AI concepts to non-technical audiences • Detail-oriented with strong analytical skills and comfort working with evaluation data and quality metrics • A collaborative mindset and comfort working closely with software engineers and editorial stakeholders • Comfort navigating ambiguity in a fast-evolving space — applied AI best practices are still being established
• career defining opportunities • thoughtfully curated benefits • tools to explore and grow
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