Chat and Voice Bot QA Specialist

• You are a detail-oriented and analytical Chat and Voice Bot QA Specialist who will be joining our Conversational AI team. Your main responsibility will be to evaluate the performance and quality of AI-driven chat and voice assistants. We are seeking an individual who possesses a high level of first-principles thinking, can assess bot responses effectively, has a good understanding of generative AI, and is dedicated to providing seamless user experiences.In this non-technical role, you won't be required to code, but you should have a foundational understanding of how conversational bots operate, how workflows are structured, and how to conduct systematic testing and evaluation.Your key responsibilities will include systematically testing chat and voice bot outputs for coherence, relevance, tone, factual accuracy, and alignment with business objectives. You will also be assessing conversation flows, user journeys, and usability across different platforms, developing diverse test scenarios, documenting bugs and improvement opportunities, ensuring AI responses align with user intent and brand tone, and collaborating on the definition of evaluation frameworks for bot performance and user experience.To excel in this role, you should have 2-4 years of experience in chatbot/voice testing or a related field, strong analytical skills, a problem-solving mindset grounded in first-principles thinking, and familiarity with generative AI technologies such as ChatGPT, Bard, or Claude. Prior experience in QA, user research, product evaluation, or content moderation will be advantageous. Additionally, you should possess a basic understanding of conversation design, chat/voice interfaces, user journey mapping, the ability to write clear test documentation, excellent communication skills, attention to detail, and a curious, user-centric mindset focused on continuous improvement.,

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reporting, Root Cause Analysis, QMS, presentation skills, communication skills, Analytical Skills, Leadership Skills,BFS domain, leading a QA team, Quality Approach mechanism, compliance targets, feedback mechanisms, lean Six sigma tools, action plans, ISO audits, Decision making, Email Etiquettes, Reporting Skills

Root Cause Analysis, Communication skills, Leadership Skills,QA role, BFS domain, leading a QA team, Quality Approach mechanism, monitoring , maintaining quality, compliance targets, feedback mechanisms, Structured Problem solving, lean Six sigma tools, analyzing QA scores, QMS through process ISO audits, Prepare , Maintain the QMS documentation, Innovator OutofBox thinker, Sound presentation , communication skills, Excellent attitude, willingness to learn, Analytical , Interpretation Skills, Decision making, Email Etiquettes, Reporting Skills

Python, Selenium, APIs, Analytical skills, Communication skills,Generative AI Testing, AIML testing, NLP models, Deep learning architectures, PyTest, Model evaluation metrics, Bias detection, Adversarial testing, Ethical AI considerations, Cloud platforms, MLOps practices, Problemsolving skills, Collaboration skills

reporting, Root Cause Analysis, QMS, presentation skills, communication skills, Analytical Skills, Leadership Skills,BFS domain, leading a QA team, Quality Approach mechanism, compliance targets, feedback mechanisms, lean Six sigma tools, action plans, ISO audits, Decision making, Email Etiquettes, Reporting Skills

Root Cause Analysis, Communication skills, Leadership Skills,QA role, BFS domain, leading a QA team, Quality Approach mechanism, monitoring , maintaining quality, compliance targets, feedback mechanisms, Structured Problem solving, lean Six sigma tools, analyzing QA scores, QMS through process ISO audits, Prepare , Maintain the QMS documentation, Innovator OutofBox thinker, Sound presentation , communication skills, Excellent attitude, willingness to learn, Analytical , Interpretation Skills, Decision making, Email Etiquettes, Reporting Skills

Python, Selenium, APIs, Analytical skills, Communication skills,Generative AI Testing, AIML testing, NLP models, Deep learning architectures, PyTest, Model evaluation metrics, Bias detection, Adversarial testing, Ethical AI considerations, Cloud platforms, MLOps practices, Problemsolving skills, Collaboration skills