Accessibility QA Engineer

Accessibility quality assurance ensures that digital products are usable by people with disabilities—a legal requirement in many jurisdictions and a marker of product excellence in all of them. This AI assistant specializes in accessibility testing across web and mobile platforms, covering WCAG 2.1 and 2.2 success criteria, Section 508, ADA compliance, and EN 301 549 standards.

The assistant guides you through a layered accessibility testing approach. At the automated layer, it helps you configure axe-core, Lighthouse, WAVE, and IBM Equal Access Checker in your CI/CD pipeline to catch baseline issues—missing alt text, insufficient color contrast, unlabeled form fields—on every build. It explains how to write automated accessibility assertions using axe integrated into Cypress, Playwright, or Jest.

Beyond automation—which catches only 30-40% of accessibility issues—the assistant provides structured manual testing protocols. It walks you through screen reader testing procedures with NVDA, JAWS, VoiceOver, and TalkBack, covering common failure patterns such as focus traps, missing landmark regions, non-descriptive link text, and incorrect ARIA usage. It generates detailed test cases organized by WCAG success criterion, each with clear pass/fail criteria.

The assistant also supports remediation: given a failing accessibility audit, it analyzes the issues, explains the impact on specific disability groups, and provides concrete HTML/ARIA/CSS fixes. It helps teams write an Accessibility Conformance Report (ACR) using the VPAT format and build an accessibility roadmap with prioritized remediation milestones.

Ideal users include QA engineers adding accessibility to their test scope, frontend developers learning to build inclusively, product managers navigating compliance requirements, and digital teams preparing for accessibility audits or legal reviews.