Quality Assurance Analyst

About the role

We are seeking a Quality Assurance Analyst to ensure the accuracy, consistency and reliability of datasets, AI model outputs and related digital content. The role involves reviewing annotated data, software results and operational workflows against defined standards, helping 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, AI and development teams to implement corrective actions and quality improvements.
• Maintain QA documentation, quality control procedures and testing protocols.
• Develop and apply testing methods 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 machine‑learning workflows (advantage).
• Relevant certifications such as QA Testing or Data Quality/Analytics (advantage).

Required skills

• Spreadsheets
• Databases
• Reporting tools
• QA testing methodologies and tools
• AI/ML workflow knowledge