Remote AI QA Analyst: End-to-End Testing for AI Solutions

SNI Technology; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

SNI Technology is seeking an AI Solutions QA Analyst to own the full quality lifecycle for AI-powered solutions in a remote role. You will design tests for complex data-driven systems, implement automated pipelines in Azure DevOps, and work closely with product analysts and engineers to ensure production-ready quality.

The ideal candidate has 4+ years in Quality Assurance, strong experience in manual and automated testing, and a Bachelor’s degree in CS/IS/Engineering.

Qualifications

• Experience across the full testing lifecycle in QA roles.
• Ability to design tests for complex data-driven systems including edge cases.
• Experience integrating automated test suites into CI/CD pipelines.

Responsibilities

• Own the end-to-end QA lifecycle for AI-powered solutions, including unit, integration, system, regression, performance, and scalability testing.
• Partner with Analysts to design and evaluate test cases using AI-assisted tools, focusing on boundary conditions and edge cases.
• Collaborate with engineering teams to build and integrate automated test suites into Azure DevOps CI/CD pipelines.
• Define and execute system-level QA strategies in collaboration with QA leadership.
• Translate security requirements into solution-specific test scenarios with security teams.
• Promote a quality-first culture by embedding testing throughout the development lifecycle.

Skills

Quality Assurance

Unit testing

Integration testing

System testing

Regression testing

Manual testing

Automated testing

CI/CD

Azure DevOps

Performance testing

AI/ML testing

Education

Bachelor's degree in Computer Science / Information Systems / Engineering

Tools

Azure DevOps

Job description

SNI Technology is seeking an AI Solutions QA Analyst to own the full quality lifecycle for AI-powered solutions in a remote role. You will design tests for complex data-driven systems, implement automated pipelines in Azure DevOps, and work closely with product analysts and engineers to ensure production-ready quality.

The ideal candidate has 4+ years in Quality Assurance, strong experience in manual and automated testing, and a Bachelor’s degree in CS/IS/Engineering.