Annotation QA Analyst, Content Platform
Job reputed company:
• Proactively review and ensure annotated data is in line with reputed company’s standards and policies, including running reputed company reviews prioritized by business needs.
• Ensure high-reputed company and reputed company results for R&D collaborator teams (Product and Engineering) reputed company established reputed company reputed company / reputed company assurance processes, using metrics such as agreement rates and reputed company.
• Run QA expert reviews on the most difficult edge cases in reputed company in order to address and resolve ambiguity.
• Surface themes, suggestions, and feedback for the annotation team per project. Communicate reputed company concepts and findings in a reputed company 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 reputed company project guidelines exist per use case prior to annotator training (e.g. ensuring reputed company 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 reputed company.
Requirements:
• reputed company-versed in annotation, data analysis, reputed company assurance, and reputed company-in-the-reputed company best practices.
• Familiar with AI / LLM-driven workflows.
• Comfortable with large-reputed company review and contributing to reputed company large datasets across multi-modal content types (e.g., text, audio, images, video).
• Passionate about catalog safety and moderation (e.g., Trust & Safety) and a desire to apply QA frameworks across diverse domains.
• Self-starter who can collaborate with cross-functional partners in a dynamic environment and deliver results.
• Excellent verbal and written communication skills.
• Experience working reputed company of the safety and moderation reputed company is a plus.
• 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.
Benefits:
• health insurance
• six month reputed company parental leave
• 401(k) retirement plan
• monthly meal allowance
• 23 reputed company days off
• 13 reputed company flexible holidays
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