Job Posting: 26/Mar/2026 Closure Date: 09/Apr/2026, 4:59:00 PM Organizational Unit: OIN Job Type: Non-staff opportunities Type of Requisition: Consultant / PSA (Personal Services Agreement) Grade Level: N/A Primary Location: Italy-Rome Duration: Up to 11 months Post Number: N/A IMPORTANT NOTICE: Please note that Closure Date and Time displayed above are based on date and time settings of your personal device
- FAO is committed to achieving workforce diversity in terms of gender, nationality, background and culture.
- Qualified female applicants, qualified nationals of non-and under-represented Members and person with disabilities are encouraged to apply;
- Everyone who works for FAO is required to adhere to the highest standards of integrity and professional conduct, and to uphold FAO's values
- FAO, as a Specialized Agency of the United Nations, has a zero-tolerance policy for conduct that is incompatible with its status, objectives and mandate, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination
- FAO’s commitment to environmental sustainability is integral to our strategic objectives and operations._ **Organizational Setting** The Food and Agriculture Organization of the United Nations (FAO) contributes to the achievement of the 2030 Agenda through the FAO Strategic Framework by supporting the transformation to more efficient, inclusive, resilient, and sustainable agrifood systems for better production, better nutrition, a better environment, and a better life, leaving no one behind. The Office of Innovation (OIN) is an important instrument within FAO to provide strategic direction and help drive and coordinate innovation across the work of the Organization, i.e., to consolidate and strengthen FAO’s innovative spirit,



including innovation of approaches and cooperation models. The Office identifies, strengthens, and complements priority areas for collective action, ensures that FAO mainstreams innovation in its programmes, facilitates cross-collaboration between the various FAO units and aids in forging and reinforcing transformative partnerships. OIN's ATIO unit is responsible for leading the ATIO initiative. The Office of Innovation (OIN) leads the Science, Technology and Innovation (STI) portal and the Agrifood Systems Technologies and Innovations Outlook (ATIO), including a federated, AI-assisted Knowledge Base (KB) and STI indicators. The ATIO Knowledge Base integrates content from partners and crowdsourcing and applies AI for enrichment, classification, and quality assurance. The Innovation Specialist (AI-assisted Quality Assurance) will contribute conceptually and technically to the design and implementation of automated testing and AI-assisted QA protocols and indicators across ingestion pipelines, Knowledge Base content quality, and database integrity, enabling reliable scaling of features such as harvesting, taxonomy/tagging, feedback tracking, and performance dashboards. **Reporting Lines** The incumbent reports to the reports to the Technical Officers leading the work on the ATIO initiative (including the Knowledge Base) and the STI Portal. **Technical Focus** Support the development and implementation of quality assurance (QA)



mechanisms for the Agrifood Systems Technologies and Innovations Outlook (ATIO) Knowledge Base (KB) and the Science, Technology and Innovation (STI) portal. This includes designing and operationalizing automated and AI-assisted quality assurance protocols to ensure the reliability, integrity and performance of data pipelines, platform features and Knowledge Base content. **Tasks and responsibilities** In close collaboration with ATIO technical team the incumbent will: - Contribute to the establishment of the ATIO Knowledge Base QA mechanism, including the development of QA indicators, integration of technical experts and human-in-the-loop validation processes and related communication workflows.
- Design and implement automated test frameworks (unit, integration, UI, API and data pipeline testing) for Knowledge Base and database features, including harvesting, crawling, federation, crowdsourcing input interfaces and editorial workflows.
- Operationalize AI-assisted QA protocols: build/test prompt based and dataset-trained validation for record quality, classification, and metadata integrity; support improvement loops and model evaluation.
- Support the establishment of CI/CD-driven QA gates and monitoring systems to assess platform reliability (availability and latency), ingestion success rates, taxonomy and tagging accuracy, duplicate detection and regression control across releases, in alignment with the ATIO CAPEX design streams.
- Implement performance tracking systems: define KPIs, instrument telemetry and dashboards for content quality and user feedback tracking; pilot, collect feedback, and iterate protocols.
- Ensure interoperability and data governance compliance, including alignment with FAIR an

📌 Innovation Specialist (Ai-assisted Quality Assurance) (Roma)
🏢 Fao
📍 Roma