AI Testing & Validation

• Design and execute comprehensive test plans for AI models and systems, focusing on accuracy, completeness, and alignment with business outcomes

• Develop and implement automated testing frameworks and tools specifically for AI validation and model performance assessment

• Use quantitative and qualitative methods to assess the quality, relevance, and performance of AI-generated outputs

• Monitor AI system performance across diverse document types, edge cases, and varying input conditions

Quality Assurance & Process Improvement

• Analyze test results to identify defects, inconsistencies, and misalignments in AI behavior and model outputs

• Document bugs, performance issues, and areas for improvement with detailed analysis and recommendations

• Collaborate with AI Product Analysts to refine prompt designs, system instructions, and output template configurations

• Assist with regression testing after changes to prompts, system logic, or model updates

Cross-Functional Collaboration

• Work closely with data scientists and engineers to enhance model performance and address quality issues

• Partner with product managers to ensure AI models meet user requirements and business expectations

• Contribute to the development of data quality metrics and monitoring systems for continuous improvement

• Participate in code reviews and process improvements to maintain high development standards

Compliance & Standards

• Ensure AI outputs meet business expectations, compliance requirements, and user experience standards

• Implement and maintain quality standards for AI systems in regulated environments (finance, healthcare, legal)

• Develop and execute validation processes for responsible AI practices, including bias detection and mitigation

• Create and maintain comprehensive documentation for quality assurance processes and testing methodologies