Technical QA Automation Specialist

Company: All Voices
Role Type: Contractor
Rate: Up to $20-25/Hour
Location: Remote

All Voices is a workplace case management and employee relations platform used by organizations to manage sensitive workplace reports, investigations, workflows, and employee relations cases. Because our customers rely on the platform for important and often sensitive work, quality, reliability, and regression coverage are critical.

We are looking for a Technical QA Automation Specialist to help us move from primarily manual QA toward a stronger automated and AI-assisted testing process. This person will work closely with engineering and product to convert existing manual test cases into automated tests, expand regression coverage, and help us evaluate tools and workflows that make QA faster, more scalable, and less dependent on repetitive manual testing.

• Convert manual test cases and QA workflows into automated tests
• Build and maintain end-to-end tests using tools such as Cypress and Puppeteer
• Use AI-assisted QA tools and workflows to speed up test creation, test maintenance, and issue discovery
• Help evaluate QA automation tools, including AI-based tools such as Tester Army AI or similar platforms
• Identify opportunities where AI can reduce the complexity of writing, maintaining, and expanding test coverage
• Help define practical automation coverage for core product workflows
• Create automated regression tests for high-risk and frequently used areas of the application
• Review existing manual QA processes and identify what should be automated first
• Debug failing automated tests and determine whether failures are caused by product bugs, test issues, data issues, or environment issues
• Work with engineers to make automated tests more reliable, maintainable, and useful
• Help organize test suites so they can support releases, smoke testing, and regression testing
• Validate bug fixes and add automated coverage where appropriate to prevent regressions
• Document testing patterns, automation standards, AI-assisted QA workflows, and repeatable QA processes
• Continue supporting manual QA when needed, especially for new features or exploratory testing

• Experience writing automated tests for modern web applications
• Ability to convert manual test steps into stable automated test cases
• Interest in using AI to improve QA speed, coverage, and reliability
• Ability to evaluate whether AI-generated test cases are accurate, useful, and maintainable
• Ability to write clear bug reports and explain test failures clearly
• Strong attention to detail
• Ability to work independently and prioritize high-value automation coverage
• Comfortable working with engineers, product managers, and QA stakeholders

Experience with some or all of the following is preferred:

• Cypress
• PostgreSQL or SQL basics
• API testing tools
• Git Hub or similar PR workflows
• AI-assisted QA tools
• Test case generation tools
• Test case management tools
• SaaS application testing

• Experience helping a team transition from manual QA to automated QA
• Experience using AI tools to generate, maintain, or improve test cases
• Experience evaluating QA platforms or automation vendors
• Experience designing smoke, regression, and end-to-end test suites
• Experience reducing flaky tests and improving test reliability
  
  Experience testing permissions, workflows, reporting, dashboards, or case management systems
• Experience with Docker-based test environments
• Familiarity with AWS or Kubernetes-based application environments
• Experience with accessibility testing
• Experience testing integrations or data-heavy workflows

We are looking for someone who can be hands‑on with test automation while also thinking practically about how AI can improve our QA process. The right person should be able to take existing manual QA coverage, identify the highest‑impact areas, and turn that coverage into reliable automated or AI‑assisted tests that help the team release faster and with more confidence.

This role is a good fit for someone who is technical, detail‑oriented, curious about AI, comfortable debugging, and able to work independently without needing a large QA organization around them.

This is a contractor role with compensation up to $20/hour depending on experience.