Overview
The role contributes conceptually and technically to the design and implementation of automated testing and AI-assisted QA protocols and indicators for data pipelines, Knowledge Base content quality, and database integrity.
Key Responsibilities
- Contribute to the establishment of the ATIO Knowledge Base QA mechanism.
- Design and implement automated test frameworks.
- Operationalize AI-assisted QA protocols.
- Support the establishment of CI/CD-driven QA gates and monitoring systems.
- Implement performance tracking systems.
- Ensure interoperability and data governance compliance.
- Collaborate with product and content teams to refine information modelling.
- Support incident response and defect triage processes.
- Develop and test core functionalities.
- Develop a prototype with an STI/ATIO KB data pipeline.
- Contribute to the assessment of the role and integration of existing FAO and non-FAO LLM/chatbot tools.
- Contribute to the preparation and documentation of the ATIO Knowledge Base QA protocol.
Required Experience
- Two (2) years of relevant experience in software quality assurance, software engineering, data engineering, or related technical areas, including experience with QA automation for data-intensive platforms (web applications, APIs and data pipelines).
- Experience applying AI, machine learning or natural language processing techniques for content validation, metadata checks, classification or semantic consistency.
- Experience working with AI-assisted validation approaches for content quality, metadata integrity and classification in knowledge platforms or digital repositories.
- Experience working in international or multi-stakeholder environments, including collaboration with product, data and content teams.
- Demonstrated ability to develop documentation, protocols or standard operating procedures for technical systems or quality assurance processes.
Qualifications
- For Consultants: Advanced university degree from an institution recognized by the International Association of Universities (IAU)/UNESCO in Computer Science, Software Engineering, Data Science or a related field; Consultants with a bachelor's degree require two additional years of relevant professional experience.
- For PSAs: Relevant technical degree or certificate in Computer Science, Software Engineering, Data Science or a related field.
