Support functional, regression, and user-focused testing of applications and AI-enabled features before release
Evaluate AI-generated outputs for quality, relevance, accuracy, consistency, and alignment to prompts, instructions, or reference materials
Identify, document, and track software defects, content issues, edge cases, and output anomalies
Perform scenario-based testing by interacting with systems as an end user to validate workflows and expected outcomes
Flag issues in AI or application behavior and provide clear written feedback on what should be corrected or improved
Assist with validation of prompts, workflows, procedures, and output-review criteria used in AI-supported processes
Help review text, image, audio, video, or other generated outputs, as applicable to the program
Maintain test evidence, validation notes, issue logs, and supporting documentation in accordance with project standards
Collaborate with developers, analysts, engineers, and project leadership to clarify expected behavior and support issue resolution
Participate in pilot testing of new features, experimental capabilities, and process improvements
Support continuous quality improvement efforts by identifying recurring issues, trends, and opportunities for better testing coverage
Contribute to the development of repeatable validation procedures, checklists, and quality review practices

1–3 years of relevant experience in software testing, QA support, AI output evaluation, digital content review, or an Associate’s / Bachelor’s Degree in a related field
Strong attention to detail with the ability to identify inconsistencies, defects, or quality issues
Experience documenting findings clearly and communicating actionable feedback
Ability to follow structured instructions, evaluation criteria, and testing procedures
Strong written and verbal communication skills
Comfortable working across multiple tasks in a fast-paced environment
Ability to think from the end-user perspective and test systems against expected outcomes
Basic familiarity with modern software applications, web-based systems, and common collaboration/documentation tools

AI Quality & Validation Specialist

Key skills