Accessibility QA Engineer – AI Trainer Platform

Accessibility Auditor

Live WCAG 2.1 checks: color contrast, ARIA integrity, keyboard navigation, and focus order.

🎨 Color Contrast Checker

Foreground Color

Background Color

Sample Text — Aa Bb Cc

WCAG Thresholds

Level	Normal Text	Large Text
AA	4.5 : 1	3.0 : 1
AAA	7.0 : 1	4.5 : 1

🏷️ ARIA Role & Attribute Validator

Paste HTML snippet

⌨️ Keyboard Navigation Tester

Tab through the interactive elements below. Focus order is visually highlighted. Press Tab / Shift+Tab to navigate.

Link Item ✅ All elements have visible focus rings meeting WCAG 2.4.7 (Focus Visible)

✅ WCAG 2.1 AA Quick Checklist

🔊 Screen Reader Output Simulator

HTML Snippet

Screen Reader Output (simulated)

Challenge Designer

Author coding challenges used to train AI models. All problems include accessibility metadata and evaluation criteria.

Problem Statement Editor

Problem Title Difficulty Primary Language Problem Description Constraints Example Input Expected Output / Behavior Related WCAG Criteria

Live Preview

Challenge Library

Code Evaluator

Paste a solution and evaluate it for correctness, accessibility compliance, and code quality. Used to grade AI-generated submissions.

Code Input

Language Solution Code

function openModal(config) {
  const overlay = document.createElement('div');
  overlay.innerHTML = `
    <div role="dialog" aria-modal="true"
         aria-labelledby="modal-title" id="modal">
      <h2 id="modal-title">${config.title}</h2>
      <p>${config.content}</p>
      <button id="close-btn" onclick="closeModal()">Close</button>
    </div>`;
  document.body.appendChild(overlay);

// Focus the modal
  overlay.querySelector('#modal').focus();

// Trap focus
  overlay.addEventListener('keydown', e => {
    if (e.key === 'Escape') closeModal();
    if (e.key === 'Tab') trapFocus(e, overlay);
  });
}

function closeModal() {
  const modal = document.getElementById('modal');
  if (modal) modal.closest('div').remove();
}

Evaluation Results

Click Evaluate Code to run analysis.

🧪 Test Case Runner

#	Test Description	WCAG Criteria	Expected	Status
Run evaluation to see test results

AI Feedback Studio

Review AI-generated code submissions, score them across accessibility and quality dimensions, and submit structured feedback to shape next-generation models.

Total Reviewed

—

Avg Score

Needs Revision

Approved

AI Submission Queue

Select Submission:

AI Submission Preview

Scoring Rubric

Correctness 7

Accessibility 5

WCAG Compliance 6

Code Clarity 8

Performance 7

Robustness 6

Overall Score: 6.5

Feedback Notes Issue Severity

Feedback History

Sub ID	Problem	Correctness	Accessibility	WCAG	Clarity	Overall	Verdict	Submitted
No submissions yet

Analytics Dashboard

Real-time metrics on AI training data quality, WCAG issue distribution, and contributor performance.

248

Problems Designed

1,847

AI Submissions Reviewed

Avg Quality Score

$40+

Hourly Rate (USD)

WCAG Issue Distribution

Issue Severity Breakdown

12-Week Quality Trend

Language Distribution

Data Quality Breakdown by WCAG Principle

Principle	Total Tests	Pass Rate	Avg Score	Critical Issues	Trend

Contributor Leaderboard

Rank	Contributor	Specialty	Reviews	Avg Score

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