Chat and Voice Bot QA Specialist

4 days ago

Bengaluru, India Yubi Full time

We are looking for a detail-oriented and analytical Chat and Voice Bot QA Specialist to join our Conversational AI team. In this role, you'll be responsible for evaluating the performance and quality of AI-driven chat and voice assistants. The ideal candidate brings a high level of first-principles thinking to assess bot responses, understands the fundamentals of generative AI, and is passionate about delivering seamless user experiences. This is a non-technical role that doesn't require coding, but does require a foundational understanding of how conversational bots work, how workflows are structured, and how to methodically test and evaluate them. Key Responsibilities Evaluate AI Responses: Systematically test chat and voice bot outputs for coherence, relevance, tone, factual accuracy, and alignment with business objectives. Test Workflows: Assess conversation flows and user journeys for edge cases, logical consistency, and usability across different platforms (web, mobile, IVR). First-Principles Problem Solving: Analyze and break down complex issues using first-principles thinking; question assumptions and propose better alternatives. Scenario Creation: Develop diverse test scenarios and real-world prompts to validate AI performance across varied contexts and user intents. Feedback & Reporting: Document bugs, inconsistencies, and improvement opportunities; work closely with product, design, and engineering teams. AI Alignment Audits: Ensure the AI responses align with user intent, brand tone, and ethical guidelines. Collaborate on Evaluation Frameworks: Help define or refine qualitative and quantitative criteria for bot performance and user experience. Requirements Qualifications 2-4 years of experience working in chatbot/voice testing, or a related field. Strong analytical skills and a problem-solving mindset grounded in first-principles thinking. Prior experience in QA, user research, product evaluation, or content moderation is a plus. Familiarity with generative AI technologies (like ChatGPT, Bard, or Claude) and LLMs. Basic understanding of conversation design, chat/voice interfaces, and user journey mapping. Ability to write clear, concise test documentation and reports. Excellent communication skills and attention to detail. Curious, user-centric mindset with a drive for continuous improvement.

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