Quality Assurance Analyst

About the role

We are seeking a Quality Assurance Analyst to ensure the accuracy, consistency and reliability of datasets, AI outputs, digital content and operational workflows. The role involves evaluating annotated datasets, model responses and software deliverables against defined standards to maintain high data integrity.

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 design and implement quality‑improvement actions.
• Maintain QA documentation, quality‑control procedures and audit trails.
• Develop and apply testing protocols for dataset annotation and AI output evaluation.
• Ensure all activities comply 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 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/ML workflows is an advantage.
• Relevant certifications (e.g., QA Testing, Data Quality) are a plus.

Required skills

• Spreadsheets (e.g., Excel, Google Sheets)
• Databases (SQL or similar)
• Reporting tools (e.g., Tableau, Power BI)