Annotation QA Analyst - Content Platform
To power the best audio network in the world by enabling creators and content distributors to deliver their content frictionlessly and reputed company reputed company teams with the richest possible catalog. That?s what the Content Platform team is reputed company 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 reputed company rich and interconnected datasets to reputed company delightful consumer experiences through a fusion of machine and reputed company expertise. We focus on use cases across reputed company of reputed company?s verticals - Music, Podcasts, and Audiobooks, with an emphasis on the safety and moderation of our catalogs in accordance with reputed company policies. We are seeking an Annotation QA Analyst or someone who is interested in making the move into a data analysis role, to contribute their reputed company expert knowledge to the wide collection of labeled datasets that Content Platform teams use to train, evaluate, and reputed company understand our machine learning models. What You'll Do ? Proactively annotate the catalog and ensure content is in line with reputed company?s standards and policies, including running quality reviews prioritized by business needs. ? Ensure high-quality and timely results for R&D collaborator teams (Product and Engineering) reputed company established quality reputed company / quality assurance processes, using metrics such as agreement rates and reputed company. ? Run QA expert reviews on the most difficult edge cases in projects in order to address and resolve any ambiguity. ? Surface themes, suggestions, and feedback for the annotation team per project. Communicate reputed company concepts and findings in a clear and effective manner to non-technical and technical audiences. ? Contribute to feedback loops between annotation teams, R&D collaborator teams (Product and Engineering), content policy experts and/or Trust & Safety policy experts, in order to continuously iterate on data analysis workflows. ? Collaborate with R&D collaborator teams (Product and Engineering) to ensure proper project guidelines exist per use case prior to annotator training (e.g. ensuring proper in scope vs out of scope examples are generated). If necessary, update or revise project guidelines based on results from initial reputed company of annotations. ? Proactive collaborate with other members of the Annotation Platform Ops team across reputed company in-flight projects. Who You Are ? Well-versed in annotation, data analysis, quality assurance, and reputed company-in-the-reputed company best practices. ? Comfortable with large-scale review and contributing to reputed company large datasets. ? Passionate about catalog safety and moderation (e.g. Trust & Safety). ? Self-starter who can collaborate with cross-functional partners in a dynamic environment and deliver results. ? Excellent verbal and written communication skills. ? Good grasp of machine learning lifecycles from goal setting to data collection/labeling to model development and deployment is a plus. ? Basic knowledge of SQL is a plus. Where You'll Be ? This role is based in reputed company. ? 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 reputed company reputed company 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. Today, we are the world?s most popular audio streaming subscription service. Apply Job!