QA Engineer (Remote)

Canada
Remote
Posted Nov 10, 2026
1 position

Applications are currently unavailable for this posting.

Employment type: Contract
Posting language: English

Job summary

Evaluate AI-generated technical outputs against quality criteria and design test cases covering functional, regression, edge-case, negative, and boundary scenarios. Document and track defects with clear reproduction steps, provide actionable written feedback, and collaborate with project teams to improve evaluation guidelines and testing standards.

Job details

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 1. 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. 2. Design and assess comprehensive test cases for functional, regression, and edge-case scenarios, including negative and boundary tests. 3. Review bug reports and test documentation to ensure issues are reproducible, documentation is complete, and severity is properly assessed. 4. Identify, isolate, and document defects with precise reproduction steps and utilize structured tracking mechanisms. 5. Provide detailed, actionable written feedback and annotations to support efficient resolution by developers without the need for clarification. 6. Collaborate with project teams to refine evaluation guidelines and ensure continuous improvement of testing standards and methodologies. Preferred Qualifications 1. Proven professional experience as a QA Engineer, SDET, Test Engineer, QA Analyst, or similar role in software quality assurance. 2. Strong command of QA fundamentals, including test case design, bug tracking, regression testing, and both manual and automated testing strategies. 3. 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). 4. Prior paid human data experience supporting AI training — annotation, labeling, RLHF, AI response evaluation, model evaluation, or rubric-based grading — is a plus. 5. Excellent analytical and problem-solving skills with meticulous attention to detail. 6. Ability to communicate complex findings clearly in written English, providing specific, actionable feedback (B2 level or above). 7. No formal degree required—practical, demonstrable testing experience takes precedence. 8. Reliable internet connection and readiness to begin promptly. What You’ll Do 1. 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. 2. Design and assess comprehensive test cases for functional, regression, and edge-case scenarios, including negative and boundary tests. 3. Review bug reports and test documentation to ensure issues are reproducible, documentation is complete, and severity is properly assessed. 4. Identify, isolate, and document defects with precise reproduction steps and utilize structured tracking mechanisms. 5. Provide detailed, actionable written feedback and annotations to support efficient resolution by developers without the need for clarification. 6. Collaborate with project teams to refine evaluation guidelines and ensure continuous improvement of testing standards and methodologies. Apply Now!

What you’ll do

Requirements

Professional experience in QA, software testing, or a similar role is required, along with strong knowledge of testing fundamentals and clear written English at B2 level or above. Experience with automation and test management tools is preferred; prior paid AI training or evaluation work is a plus, and no formal degree is required.