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Odixcity Consulting • Nigeria
Role & seniority: QA Analyst (Quality Assurance Analyst); mid-level (3–5 years in QA, data validation, or analytics)
Stack/tools: QA testing methodologies and tools; spreadsheets, databases, reporting tools; foundational understanding of AI/ML workflows; certifications in QA/data quality advantageous
Review datasets, AI outputs, and operational results for accuracy
Identify, report, and track inconsistencies, errors, and quality gaps
Collaborate with data operations and AI teams to implement quality improvements; maintain QA documentation and testing protocols; ensure compliance with guidelines and ethical requirements
Bachelor’s degree in CS, Data Science, Information Systems, Statistics, QA, or related field
Familiarity with QA testing methodologies/tools; data validation, auditing, error detection
Experience with spreadsheets, databases, and reporting tools
Basic knowledge of AI/ML workflows (advantage)
3–5 years of proven QA/data validation/analytics experience
QA Testing or Data Quality/Analytics certifications (advantage)
Location & work type: Location not specified; work type not specified (open-standard listing)
QA Analyst (Quality Assurance Analyst)
Job Summary: We are looking for a QA Analyst ensures the quality, consistency, and reliability of datasets, AI outputs, digital content, and operational workflows. This role evaluates annotated datasets, AI model responses, software outputs, and content deliverables to ensure they meet defined standards and project requirements. The QA Analyst will help to maintain high data integrity, reducing errors and improving 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.
Job Requirements
Bachelor’s Degree in Computer Science, Data Science, Information Systems, Statistics, Quality Assurance or related fields 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 or ML workflows (advantage). Required Certifications such as Quality Assurance or QA Testing Certification, Data Quality/Analytics Certification (advantage) 3-5 years of proven experience in QA, data validation, or analytics.