QA Engineer

About the Role

Skill Stand In connects experienced technical professionals with AI-focused projects where human expertise is used to evaluate, validate, and improve AI-generated work.

We are looking for Software Engineers, QA Engineers, SDETs, and Test Automation Engineers with strong web testing experience to review browser-based testing workflows for AI-generated applications.

This role is focused on technical review and validation rather than simply executing test cases. You will determine whether automated browser tests are well-designed, reproducible, deterministic, and capable of producing reliable pass/fail results.

What You’ll Do

• Review browser-based test workflows for AI-generated web applications.
• Evaluate whether browser interactions are technically feasible, realistic, and reliable.
• Validate test setup, fixtures, test data, environment assumptions, and execution flow.
• Verify that assertions produce deterministic, unambiguous pass/fail outcomes.
• Identify flaky tests, race conditions, timing issues, hidden dependencies, and unreliable selectors.
• Review AI-generated testing approaches and scoresheets rather than accepting AI output at face value.
• Provide concise, structured technical feedback and defend scoring against practitioner QA standards.
• Work independently and asynchronously to deliver high-quality evaluations.

What We’re Looking For

• 3+ years of professional experience in Software Engineering, QA Engineering, SDET, Test Automation, or a related technical role.
• Strong experience testing modern web applications.
• Hands-on experience with browser automation frameworks such as Playwright, Cypress, Selenium, or comparable tools.
• Experience creating, debugging, or reviewing automated UI and end-to-end tests.
• Strong understanding of test isolation, fixtures, test data, setup/teardown, reproducibility, and deterministic testing.
• Understanding of browser behavior, DOM interactions, selectors, asynchronous operations, network requests, and application state.
• Ability to identify common causes of flaky browser tests.
• Strong debugging and technical problem-solving skills.
• Ability to review unfamiliar code and quickly determine whether an implementation is technically correct.
• High attention to detail and ability to communicate technical issues clearly in writing.

AI-Assisted Engineering

AI tools may be part of the workflow, so we are particularly interested in engineers who know how to use AI effectively while maintaining strong engineering judgment.

Ideal candidates can:

Experience with tools such as ChatGPT, Claude, Cursor, GitHub Copilot, or similar AI-assisted development tools is valuable.

• Use AI coding assistants to accelerate review, testing, debugging, and evaluation.
• Critically evaluate AI-generated code and test cases.
• Detect incorrect assumptions, hallucinated APIs, weak assertions, and incomplete test coverage.
• Independently verify AI-generated solutions through code inspection and execution.
• Improve AI-generated work rather than blindly accepting its output.

Technical Skills

Relevant experience may include:

You do not need experience with every technology listed above.

• Browser Automation: Playwright, Cypress, Selenium, Puppeteer
• Languages: JavaScript, TypeScript, Python, Java, or similar
• Web: HTML, CSS, DOM, HTTP, REST APIs, browser developer tools
• Testing: E2E testing, integration testing, regression testing, test automation, fixtures, mocking, assertions
• Engineering: Git, CI/CD, debugging, code review, automated test pipelines
• AI Tools: ChatGPT, Claude, Cursor, GitHub Copilot, or equivalent

What Success Looks Like

Successful reviewers can examine a browser-testing workflow and confidently answer questions such as:

The goal is to ensure every accepted test provides a clear, technically defensible, and reproducible pass/fail signal.

• Can this test execute reliably in a clean environment?
• Does the test depend on state created elsewhere?
• Are the setup and fixture requirements complete?
• Are the selectors and browser interactions robust?
• Could asynchronous behavior introduce race conditions?
• Are the assertions testing the intended behavior?
• Would the same application consistently produce the same test result?
• Is a failure caused by the application, the test, or an ambiguous requirement?
• Has AI-generated code been independently verified?

Why Join Skill Stand In

You'll work on practical software engineering and testing problems while contributing to projects involving the evaluation and improvement of AI-generated software.

This role offers:

• Fully remote work.
• Flexible scheduling.
• Hourly, part-time work.
• Exposure to AI-assisted software engineering workflows.
• Hands-on work involving realistic browser automation and testing scenarios.
• Opportunities to apply engineering judgment rather than performing repetitive manual QA alone.

Engagement

This is an independent contractor opportunity. Project duration and available hours may vary based on project requirements, candidate performance, and client needs.

Skill Stand In welcomes qualified applicants from diverse professional backgrounds. Reasonable accommodations are available where applicable.

Technical Skills

You do not need experience with every technology listed below.

• Playwright
• Cypress
• Selenium
• TypeScript
• JavaScript
• Python
• E2E Testing
• CI/CD
• Cursor
• GitHub Copilot