Partners with internal teams to ensure that decisions made by Content Review team is being regularly audited for accuracy and that performance feedback is being shared with the responsible teams
Works closely with Quality Assurance Leaders to aggregate, prioritize, and report on the top issues impacting decision accuracy for each market and vertical
As new Content Policies are being developed and prototyped, provides details to local teams around the impact of the policy change on the team’s current work and surfaces gaps in knowledge, process, and technology between the intent of the Content Policy and how content review actually takes place
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We are seeking an experienced Automation Testing + AI Model Assurance Engineer to validate and assure the quality, reliability, performance, and governance of AI-powered applications and conversational systems. The ideal candidate should have strong expertise in test automation frameworks, API testing, AI model validation, prompt testing, and quality assurance practices across Generative AI and Machine Learning solutions.
The role involves designing automation frameworks, validating AI model behavior, testing conversational AI experiences, identifying model risks, and collaborating with cross-functional teams to ensure high-quality AI product releases.
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