Quality Assurance Analyst

About the role

We are looking for a QA Analyst who ensures the quality, consistency, and reliability of datasets, AI outputs, digital content, and operational workflows. The role evaluates annotated datasets, AI model responses, software outputs, and content deliverables to meet defined standards and project requirements, helping maintain high data integrity and improve AI system reliability.

Key responsibilities

• Review datasets, AI outputs, and operational results for accuracy.
• Identify and report inconsistencies, errors, and quality gaps.
• Collaborate with data operations and AI teams to implement quality improvements.
• Maintain QA documentation and quality control processes.
• Develop and apply testing protocols 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 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.

Required skills

• Spreadsheets (e.g., Excel)
• Databases (SQL)
• Reporting tools
• QA testing methodologies and tools
• Dataset validation
• Auditing and error detection
• Basic knowledge of AI/ML workflows