AI Technician

Classification: Office of Research Reports To: Manager of Artificial intelligence & Application Integration About The American International University American International University (AIU) is a private institution in Kuwait, founded in 2019, offering undergraduate programs in Engineering and Computing, Architecture and Design, Business, Arts and Sciences, and Education. The programs are delivered in English and follow the American model of higher education. AIU serves a community of more than 4,000 students and is implementing the RISE Strategy 2026–2030, a five-year institutional transformation strategy anchored in research development, international accreditation, student success, employability, and community engagement. For more information, visit: www.aiu.edu.kw Position Summary The AI Technician provides technical and operational support for AI-related projects, AI initiatives, research clusters, software development activities, data workflows, and digital research tools within the Research and Grants Office. The role supports faculty, students, and project teams by assisting with AI prototype development, data preparation, automation, coding support, dashboards, documentation, tool testing, troubleshooting, and project deployment under the direction of the Assistant vice president of research. The position is intended to strengthen AIU’s applied research capacity and ensure that AI-related initiatives are technically organized, reliable, and aligned with institutional research priorities. Core Domains • Technical support for AI initiatives and AI-related research clusters. • Software development, prototyping, scripting, automation, and AI tool implementation. • Data preparation, cleaning, storage, documentation, and workflow support for research projects. • Technical support for research dashboards, analytics, and internal digital tools. • Troubleshooting and user support for faculty, students, and research teams using AI tools. • Documentation, testing, version control, and technical reporting for AI research outputs. Key Responsibilities • AI Research and Project Technical Support • Provide hands-on technical support for AI-related research projects, applied research prototypes, and digital research tools. • Assist faculty, students, and research cluster leads with technical implementation of AI and data-driven projects. • Support the setup, testing, troubleshooting, and documentation of AI models, scripts, dashboards, and prototype systems. • Translate project requirements into practical technical tasks, timelines, and implementation steps under supervision. • Maintain technical records for AI projects, including code notes, version updates, datasets used, dependencies, testing notes, and known issues. • Software Development, Automation, and Prototyping • Develop and maintain simple software tools, scripts, prototypes, forms, automation workflows, and AI-enabled utilities to support research activities. • Assist in building internal tools for research tracking, publication support, grant workflow support, data analysis, and administrative automation. • Support integration of AI tools with approved university systems where authorized and technically feasible. • Use version control and structured documentation practices to ensure that project files are traceable, reusable, and maintainable. • Test tools before internal use and prepare simple user instructions or technical handover notes. • Data Management and Technical Documentation • Assist with data collection, cleaning, organization, formatting, anonymization, and preparation for AI and research analytics projects. • Support the maintenance of structured datasets, code repositories, project folders, and technical documentation in approved storage locations. • Prepare technical summaries, workflow diagrams, data dictionaries, and step-by-step guides for research-related tools and processes. • Support compliance with university data protection expectations, research ethics requirements, and responsible AI practices. • Escalate data quality, access, privacy, security, or compliance concerns to the Director of Academic Research and/or AVPAR. • AI initiatives and Research Cluster Support • Provide technical support for AI initiatives, AI cluster activities, internal pilots, workshops, demonstrations, and proof-of-concept projects. • Assist in preparing technical materials for AI-related workshops, hackathons, research seminars, and student/faculty training sessions. • Support project teams in documenting AI use cases, prototype outcomes, limitations, and next-step recommendations. • Coordinate with faculty and students to collect technical requirements and provide practical support within approved project scope. • Assist with demonstrations of AI tools and prototypes for internal events, research showcases, and leadership briefings. • Dashboards, Analytics, and Research Tools • Support the development and maintenance of dashboards, trackers, and visualization tools for research outputs, grants, KPIs, events, and project status. • Assist with extracting, organizing, and validating research-related data for internal reporting and decision support. • Work with the Research Data & Impact Analyst, when applicable, to support technical aspects of dashboards and reporting tools. • Maintain backup copies, documentation, and version history for approved dashboards and tools. • Identify opportunities to simplify research office workflows through responsible automation and AI-enabled support tools. • Technical Support, Training, and Troubleshooting • Provide first-line technical support to faculty, students, and staff involved in approved AI research activities. • Troubleshoot common issues related to code, datasets, AI tools, dashboards, forms, automation workflows, and research software utilities. • Prepare simple training materials and support sessions for approved AI tools and research systems. • Coordinate with IT department for infrastructure, access, security, software installation, hardware, and system-level requirements that exceed the role’s scope. • Maintain a log of recurring technical issues and recommend improvements to reduce repeated problems. • Governance, Responsible AI, and Risk Awareness • Support responsible AI use by following approved policies, ethical standards, data protection practices, and project-specific instructions. • Avoid unauthorized use, sharing, or uploading of confidential institutional, student, faculty, or research data to unapproved platforms. • Document limitations, assumptions, data sources, and risks associated with AI tools or prototypes where applicable. • Support the preparation of technical evidence for research ethics, grant, or internal review processes when needed. • Immediately report cybersecurity, privacy, data leakage, misuse, or compliance concerns to the appropriate supervisor. Education Qualifications • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, Information Systems, or a closely related field. Master’s degree is preferred. • Minimum 3 years of relevant experience in technical support, AI p

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, Information Systems, or a closely related field. Master’s degree is preferred. Minimum 3 years of relevant experience in technical support, AI p

AI Research and Project Technical Support Provide hands-on technical support for AI-related research projects, applied research prototypes, and digital research tools. Assist faculty, students, and research cluster leads with technical implementation of AI and data-driven projects. Support the setup, testing, troubleshooting, and documentation of AI models, scripts, dashboards, and prototype systems. Translate project requirements into practical technical tasks, timelines, and implementation steps under supervision. Maintain technical records for AI projects, including code notes, version updates, datasets used, dependencies, testing notes, and known issues. Software Development, Automation, and Prototyping Develop and maintain simple software tools, scripts, prototypes, forms, automation workflows, and AI-enabled utilities to support research activities. Assist in building internal tools for research tracking, publication support, grant workflow support, data analysis, and administrative automation. Support integration of AI tools with approved university systems where authorized and technically feasible. Use version control and structured documentation practices to ensure that project files are traceable, reusable, and maintainable. Test tools before internal use and prepare simple user instructions or technical handover notes. Data Management and Technical Documentation Assist with data collection, cleaning, organization, formatting, anonymization, and preparation for AI and research analytics projects. Support the maintenance of structured datasets, code repositories, project folders, and technical documentation in approved storage locations. Prepare technical summaries, workflow diagrams, data dictionaries, and step-by-step guides for research-related tools and processes. Support compliance with university data protection expectations, research ethics requirements, and responsible AI practices. Escalate data quality, access, privacy, security, or compliance concerns to the Director of Academic Research and/or AVPAR. AI initiatives and Research Cluster Support Provide technical support for AI initiatives, AI cluster activities, internal pilots, workshops, demonstrations, and proof-of-concept projects. Assist in preparing technical materials for AI-related workshops, hackathons, research seminars, and student/faculty training sessions. Support project teams in documenting AI use cases, prototype outcomes, limitations, and next-step recommendations. Coordinate with faculty and students to collect technical requirements and provide practical support within approved project scope. Assist with demonstrations of AI tools and prototypes for internal events, research showcases, and leadership briefings. Dashboards, Analytics, and Research Tools Support the development and maintenance of dashboards, trackers, and visualization tools for research outputs, grants, KPIs, events, and project status. Assist with extracting, organizing, and validating research-related data for internal reporting and decision support. Work with the Research Data & Impact Analyst, when applicable, to support technical aspects of dashboards and reporting tools. Maintain backup copies, documentation, and version history for approved dashboards and tools. Identify opportunities to simplify research office workflows through responsible automation and AI-enabled support tools. Technical Support, Training, and Troubleshooting Provide first-line technical support to faculty, students, and staff involved in approved AI research activities. Troubleshoot common issues related to code, datasets, AI tools, dashboards, forms, automation workflows, and research software utilities. Prepare simple training materials and support sessions for approved AI tools and research systems. Coordinate with IT department for infrastructure, access, security, software installation, hardware, and system-level requirements that exceed the role’s scope. Maintain a log of recurring technical issues and recommend improvements to reduce repeated problems. Governance, Responsible AI, and Risk Awareness Support responsible AI use by following approved policies, ethical standards, data protection practices, and project-specific instructions. Avoid unauthorized use, sharing, or uploading of confidential institutional, student, faculty, or research data to unapproved platforms. Document limitations, assumptions, data sources, and risks associated with AI tools or prototypes where applicable. Support the preparation of technical evidence for research ethics, grant, or internal review processes when needed. Immediately report cybersecurity, privacy, data leakage, misuse, or compliance concerns to the appropriate supervisor.