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. This role evaluates annotated data, model responses, and software 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.
• Identify and report inconsistencies, errors, and quality gaps.
• Collaborate with data operations and AI teams to implement quality improvements.
• Maintain QA documentation and quality‑control processes.
• Develop and apply testing protocols for dataset annotation and AI output evaluation.
• Ensure compliance with project guidelines, 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.
• Basic knowledge of AI or ML workflows (advantage).
• Relevant certifications such as Quality Assurance, QA Testing, or Data Quality/Analytics (advantage).

Required skills

• Experience with spreadsheets, databases, and reporting tools.
• Familiarity with QA testing methodologies and tools.
• Basic knowledge of AI/ML workflows.