Job #: 163765-1

Job Title: Content QA Analyst

Rate: $42/hourly

Location: Remote (PST hours)

Duration: Through 12/31/2026 (Possibility of Extension)

We are seeking a detail-oriented and customer-focused Content QA Analyst to ensure the quality, reliability, and effectiveness of content experiences across Microsoft 365 products, including templates, prompt templates, AI-generated content, and emerging Copilot experiences.

This role sits at the intersection of content, user experience, and quality assurance. The successful candidate will validate content performance, identify defects, evaluate AI-generated outputs, and help improve customer-facing experiences across productivity applications and AI-powered solutions.

The ideal candidate combines strong testing expertise with an understanding of content quality, usability, functionality, accessibility, and customer experience.

Required Skills & Qualifications

Education

• Bachelor's degree in Computer Science, Engineering, Information Systems, Content Automation, or a related field.

Experience

• Experience in quality assurance, content testing, quality control, usability testing, or related disciplines.
• Experience creating test plans, test cases, validation documentation, and test reports.
• Experience evaluating digital content and customer-facing experiences.
• Experience applying structured testing methodologies and quality assurance processes.

Core Skills

• Knowledge of Microsoft 365 applications and productivity workflows.
• Experience scripting with Python, PowerShell, or similar technologies.
• Strong understanding of QA methodologies, defect tracking, and quality frameworks.
• Analytical problem-solving and data interpretation skills.
• Excellent written and verbal communication skills.
• Strong attention to detail and commitment to quality.

Preferred Qualifications

• Experience evaluating AI-generated content or generative AI experiences.
• Familiarity with Copilot and AI-assisted productivity tools.
• Understanding of content quality standards, user experience principles, and design best practices.
• Experience working with automation frameworks.
• Knowledge of human evaluation methodologies and quality scoring rubrics.

Candidate Requirements

The ideal candidate will demonstrate:

• Hands-on experience in content testing, QA, or QC environments.
• Proven ability to create test plans, execute test cases, and document results.
• Experience communicating testing outcomes and recommendations to stakeholders.
• Familiarity with scripting languages such as Python, PowerShell, or similar technologies.
• Ability to work independently in a remote environment and manage multiple priorities.
• Customer-focused approach with a commitment to continuous improvement and quality.

Assessment Process

Candidates may be assessed through a combination of:

Technical Assessment

• Review of QA, content testing, and quality assurance experience.
• Validation of test planning, test execution, and defect management capabilities.
• Discussion of testing methodologies, quality processes, and reporting practices.
• Evaluation of scripting and automation knowledge.

Scenario-Based Evaluation

• Review of content quality evaluation techniques.
• Assessment of AI-generated content analysis and recommendation development.
• Defect identification and root-cause analysis exercises.
• Sample test planning and reporting activities.

Communication Assessment

• Ability to clearly communicate testing results and quality recommendations.
• Demonstration of stakeholder management and documentation skills.

Performance Measurement

Performance will be evaluated based on:

• Volume and quality of testing completed.
• Effectiveness and completeness of test plans and test cases.
• Quality of defect identification, documentation, and resolution tracking.
• Timely delivery against milestones and project objectives.
• Proactive communication regarding risks, blockers, and dependencies.
• Ability to synthesize testing data into actionable recommendations.
• Contributions to process improvements, automation opportunities, and quality enhancements.

Key Responsibilities

Content Testing & Quality Assurance

• Develop and execute test plans for templates, prompt templates, AI-generated content, and other Microsoft 365 content experiences.
• Perform manual and automated testing across Word, Excel, PowerPoint, Create, and Copilot experiences.
• Validate content quality, functionality, usability, accessibility, and adherence to design standards.
• Identify, document, reproduce, and track defects through resolution.
• Verify content performance across a variety of customer scenarios and workflows.

AI Content Evaluation

• Evaluate AI-generated outputs against established quality standards and acceptance criteria.
• Assess content accuracy, relevance, formatting, usability, and overall customer experience.
• Provide actionable recommendations to improve content and model performance.
• Support quality evaluation efforts for emerging generative AI experiences.

Test Development & Execution

• Create and maintain test plans, test cases, scripts, validation frameworks, and testing documentation.
• Develop repeatable testing approaches for new content experiences and product features.
• Collaborate with content creators, product teams, designers, and other stakeholders to improve testing coverage and quality.
• Identify opportunities to streamline testing through automation and scalable processes.

Reporting & Recommendations

• Analyze testing results and communicate findings to stakeholders.
• Identify recurring issues, quality trends, and areas for improvement.
• Track testing outcomes and ensure updates are reflected in documentation and production workflows.
• Translate testing insights into clear, actionable recommendations.

Unique Selling Points

• Work on Leading AI and Productivity Experiences
• Contribute to the quality and effectiveness of content experiences used in Word, Excel, PowerPoint, Create, and Copilot.
• Gain Hands-On Exposure to Generative AI
• Develop expertise in evaluating AI-generated content and improving customer experiences within modern productivity platforms.
• Influence Product Quality at Scale
• Own testing strategies, provide impactful recommendations, and help improve content experiences that reach large and diverse user audiences.
• Collaborate Across Multiple Disciplines
• Partner with content, design, product, and engineering stakeholders to improve quality, usability, and customer outcomes.
• Drive Meaningful Business Impact
• Turn testing insights into process improvements and scalable solutions that directly enhance content quality and user satisfaction.
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