Quality Assurance Analyst – Data & AI

About the role

We are seeking a Quality Assurance Analyst to ensure the quality, consistency, and reliability of datasets, AI outputs, digital content, and operational workflows. The role involves reviewing annotated datasets, model responses, software outputs and content deliverables against defined standards and project requirements.

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 processes and testing protocols.
• Develop and apply testing procedures 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 such as Quality Assurance, QA Testing or Data Quality/Analytics (preferred).

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 workflows.