Quality Assurance Analyst – Data & AI Quality

About the role

The Quality Assurance Analyst ensures the accuracy, consistency, and reliability of datasets, AI model outputs, digital content, and operational workflows. You will evaluate annotated data, AI 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 processes, and testing protocols.
• Develop and apply testing procedures 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.
• 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
• QA testing methodologies
• QA testing tools
• Dataset validation
• Data auditing
• Error detection