QA Engineer (Remote)

Role Title : QA Engineer (Remote)

Role Type : Contractor

Location : Remote

QA Engineers to contribute expertise in software quality evaluation for a customer's high-volume project.

In this role, you'll apply your expertise to help train next-generation AI systems.

Your work will shape how models learn, reason, and perform through high-quality, real-world input.

No prior experience in AI is required — your domain knowledge is what matters.

This opportunity is open to specialists with strong professional QA backgrounds.

Prior paid experience with human data annotation, RLHF, model output evaluation, or rubric-based grading for AI training is a plus, but not required.

Scope of Work

• Evaluate and rate AI-generated technical outputs against defined quality criteria and rubrics, identifying answers that may appear correct but are actually inaccurate or incomplete.
• Design and assess comprehensive test cases for functional, regression, and edge-case scenarios, including negative and boundary tests.
• Review bug reports and test documentation to ensure issues are reproducible, documentation is complete, and severity is properly assessed.
• Identify, isolate, and document defects with precise reproduction steps and utilize structured tracking mechanisms.
• Provide detailed, actionable written feedback and annotations to support efficient resolution by developers without the need for clarification.
• Collaborate with project teams to refine evaluation guidelines and ensure continuous improvement of testing standards and methodologies.

Preferred Qualifications

• Proven professional experience as a QA Engineer, SDET, Test Engineer, QA Analyst, or similar role in software quality assurance.
• Strong command of QA fundamentals, including test case design, bug tracking, regression testing, and both manual and automated testing strategies.
• Hands-on experience with automation frameworks and test management tools such as Selenium, Playwright, Cypress, Appium, Postman, Jira, TestRail, Zephyr, or BrowserStack (or similar tools).
• Prior paid human data experience supporting AI training — annotation, labeling, RLHF, AI response evaluation, model evaluation, or rubric-based grading — is a plus.
• Excellent analytical and problem-solving skills with meticulous attention to detail.
• Ability to communicate complex findings clearly in written English, providing specific, actionable feedback (B2 level or above).
• No formal degree required—practical, demonstrable testing experience takes precedence.
• Reliable internet connection and readiness to begin promptly.

What You’ll Do

• Evaluate and rate AI-generated technical outputs against defined quality criteria and rubrics, identifying answers that may appear correct but are actually inaccurate or incomplete.
• Design and assess comprehensive test cases for functional, regression, and edge-case scenarios, including negative and boundary tests.
• Review bug reports and test documentation to ensure issues are reproducible, documentation is complete, and severity is properly assessed.
• Identify, isolate, and document defects with precise reproduction steps and utilize structured tracking mechanisms.
• Provide detailed, actionable written feedback and annotations to support efficient resolution by developers without the need for clarification.
• Collaborate with project teams to refine evaluation guidelines and ensure continuous improvement of testing standards and methodologies.