Quality Assurance Analyst

About the role

The Quality Assurance Analyst ensures the accuracy, consistency, and reliability of datasets, AI outputs, digital content, and operational workflows. You will evaluate annotated data, model responses, and software deliverables against defined standards to maintain high data integrity and improve 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 and AI 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, 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.
• Basic knowledge of AI/ML workflows (advantage).
• Relevant certifications (e.g., QA Testing, Data Quality/Analytics) are a plus.

Required skills

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