Quality Assurance Analyst

About the role

The Quality Assurance Analyst ensures the accuracy, consistency, and reliability of datasets, AI outputs, digital content, and operational workflows. You will evaluate annotated datasets, model responses, software outputs, and deliverables against defined standards to maintain high data integrity and improve AI system performance.

Key responsibilities

• Review datasets, AI outputs, and operational results for accuracy and completeness.
• Identify, document, and report inconsistencies, errors, and quality gaps.
• Collaborate with data operations and AI teams to implement corrective actions and quality improvements.
• Maintain QA documentation, quality‑control procedures, and audit trails.
• Develop and apply testing protocols for dataset annotation and AI output evaluation.
• Ensure compliance with project guidelines, industry standards, and ethical requirements.

Required profile

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Statistics, Quality Assurance or a related field.
• 3‑5 years of proven experience in QA, data validation, or analytics.
• Familiarity with QA testing methodologies and tools.
• Understanding of dataset validation, auditing, and error detection.
• Experience with spreadsheets, databases, and reporting tools.
• Basic knowledge of AI/ML workflows (advantage).
• Relevant certifications (QA Testing, Data Quality/Analytics) are a plus.

Required skills

• Spreadsheets
• Databases
• Reporting tools
• QA testing methodologies
• Dataset validation
• Auditing and error detection
• Basic AI/ML workflow knowledge