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 evaluating annotated datasets, model responses, software outputs, and 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 reporting artifacts.
• 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.
• Experience with spreadsheets, databases, and reporting tools.
• Basic knowledge of AI or ML workflows (advantage).
• Relevant certifications such as QA Testing or Data Quality/Analytics (advantage).

Required skills

• Spreadsheets
• Databases
• Reporting tools
• QA testing methodologies and tools