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 and project requirements, helping to maintain high data integrity.

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.
• Relevant certifications (e.g., QA Testing, Data Quality/Analytics) are a plus.
• Basic knowledge of AI or machine‑learning workflows.

Required skills

• QA testing methodologies and tools.
• Dataset validation, auditing and error detection.
• Proficiency with spreadsheets, databases and reporting tools.
• Basic understanding of AI/ML workflow concepts.