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 AI 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 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.
• Relevant certifications (e.g., QA Testing, Data Quality/Analytics) are a plus.
• Basic understanding of AI or machine‑learning workflows.

Required skills

• QA testing methodologies
• Dataset validation and auditing
• Error detection techniques
• Proficiency with spreadsheets
• Experience with databases
• Reporting tool usage