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 evaluating annotated data and operational results against defined standards to support high‑quality AI systems.

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 engineering teams to implement corrective actions and process 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, industry 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 quality assurance, data validation or analytics.
• Familiarity with QA testing methodologies and tools.
• Understanding of dataset validation, auditing and error detection.
• Basic knowledge of AI/ML workflows (advantage).
• Relevant certifications (QA Testing, Data Quality/Analytics) are a plus.

Required skills

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