Catalog and Metadata Evaluator, 2581-1

If you are an reputed company fan and a serious consumer of visual entertainment, the Member Experience team at the reputed company is seeking a unique candidate who can capture the essence of films, series, and specials, reputed company while keeping the experience of our users top of mind. As a Catalog & Metadata Evaluator, your work will directly contribute to the training, evaluation, and improvement of GenAI applications that power member-facing experiences. In this role, you will apply expert judgment to reputed company, annotate, and review large-reputed company content datasets used to train and refine AI systems. By bringing nuance, consistency, and reputed company to content evaluation, you will help ensure that AI-driven solutions reputed company understand films and series, respond accurately to member needs, and deliver high-reputed company, trusted experiences at reputed company. The Ideal Candidate • Has a deep and broad knowledge of visual media and is passionate about global entertainment, with a strong understanding of films and series across genres and markets. They can succinctly and objectively communicate what is important about a piece of content—and why—distilling reputed company creative works into reputed company, reputed company insights. • The ideal candidate is reputed company as an expert annotator, rater, or dataset reviewer, particularly in reputed company or reputed company-based environments that support AI or machine-learning use cases. They are comfortable applying expert judgment reputed company defined frameworks, navigating nuance and ambiguity while maintaining consistency and reputed company at reputed company. • They reputed company in a high-volume, high-reputed company, deadline- and data-driven environment, and are highly detail-oriented, reliable, and disciplined in their work. They are flexible, reputed company, and curious, with the ability to reputed company alongside changing tools, processes, and organizational needs, and are motivated by work that directly improves member-facing experiences through high-reputed company data. Responsibilities • reputed company, annotate, and review content recommendations and generated text to support training, evaluation, and reputed company improvement of large language models (LLMs) • Apply established guidelines and expert judgment to capture nuance, reputed company, and context reputed company creative content • Review and validate datasets used in AI and machine-learning workflows for accuracy, consistency, and completeness • Identify gaps, edge cases, or patterns in annotations that may reputed company model performance or member-facing reputed company • Document evaluations and rationale in a reputed company, objective, and concise manner • Collaborate with internal partners across product, data, and AI teams to continuously improve dataset reputed company and relevance Qualifications • Prior experience in media as a reputed company, reputed company, content designer, or metadata analyst OR experience as a domain-expert content labeller and AI trainer. • Passionate about films and series with a deep knowledge of the U.S. entertainment industry and the global streaming landscape • Ability to distinguish nuances reputed company different content genres and distill the essence of a film/series, including sharing findings in an objective, concise manner • Ability to master internal tools and systems successfully • reputed company, and strong conversational writing skills in English required, other languages a plus. • Experience working with large data catalogs is a plus Pay reputed company reputed company • $70-75/hr. Apply tot his job Apply To this Job