QA Engineer
Ensure AI visibility delivery quality. Test structured data, redirects, and technical SEO signals across blueprint and implementation work.
About the role
You will safeguard AI visibility delivery quality — testing structured data, redirects, and technical SEO signals across blueprint and implementation work, with clear checklists and reproducible reports.
Responsibilities
- +Validate AI Visibility Blueprints
- +Test implementation work
- +Verify Schema.org JSON-LD
- +Run smoke and E2E tests
- +Maintain test docs and checklists
Requirements
Must have
- ✓2+ years in QA
- ✓Strong manual testing
- ✓API testing with Postman or similar
- ✓Basic JSON literacy
- ✓English B1+
Nice to have
- +Playwright or Cypress
- +JSON Schema validation
- +SEO / structured data familiarity
- +GitHub Actions
Tech stack
KPIs for probation period
The targets we check against during the 3-month probation.
Test coverage
≥ 85%
Bug report quality
≥ 90%
Time to resolve
≤ 2 days
Pre-qualification artifact
Submit a professional profile and a link to an existing, public artifact. One of the accepted types below — real work you authored and can explain.
Accepted artifacts (one of)
Hiring process
Application
ImmediateSubmit your profile and artifact through the form.
Auto-screening
1–3 business daysAutomatic validation of profile and artifact — a 70+ score is required to pass.
Manual review
1–2 business daysHuman review of qualified applications.
Quick interview
Scheduled via calendar10-minute call about your artifact and experience.
Offer
1–2 business daysReference check and offer with a 3-month probation period.
Ready to apply?
Join our team and help build the future of AI visibility and index control.