Quality Assurance Analyst – Data & AI Quality

About the role

We are seeking a Quality Assurance Analyst to ensure the accuracy, consistency and reliability of datasets, AI model outputs, digital content and operational workflows. The role involves reviewing annotated data and AI results, identifying quality gaps and working with data and AI teams to implement improvements.

Key responsibilities

• Review datasets, AI outputs and operational results for accuracy and compliance with project standards.
• Identify, document and report inconsistencies, errors and quality gaps.
• Collaborate with data operations, AI engineers and product teams to define and apply quality improvements.
• Maintain QA documentation, quality control processes and testing protocols for dataset annotation and AI output evaluation.
• Ensure all deliverables meet ethical requirements and project guidelines.

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, and basic understanding of AI/ML workflows.
• Strong analytical mindset with ability to detect errors and suggest corrective actions.

Required skills

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