AI Native Trainer

Application Deadline: August 30, 2026

Role

• Position: AI Native Trainer
• Duty Station: Jwagal, Lalitpur, with assignments at partner organizations and institutions
• Employment Type: Full time
• Reports to: Project Manager; day-to-day coordination with the Community Manager

NAAMII is calling for AI Native Trainers who want to do more than deliver a course. The trainers will help design, test and strengthen a new model of AI learning; facilitate problem-based learning across diverse contexts; and contribute evidence from the field to improve how people are prepared for an AI-enabled future.

Position Summary

NAAMII is calling for an AI Native Trainer to help create meaningful and lasting impact on how students, educators, and professionals understand, use and learn with AI. This is not only a training-delivery role. The trainer will contribute to shaping NAAMII's AI Native learning model by helping redesign teaching and learning, turning real academic and institutional challenges into problem-based learning experiences, and enabling learners to use AI with confidence, critical judgment and responsibility. Through UDAAN and other NAAMII initiatives, the trainer will work across partner organizations or institutions, adapt learning to different disciplines, facilitate practical use of standard AI tools and technologies, and bring evidence from the field back into the continuous improvement of the curriculum, pedagogy and wider AI Native ecosystem.

Key Responsibilities

A. Shape the AI Native Learning Experience

• Contribute to the design and continuous improvement of the AI Native curriculum, learning activities and facilitation resources.
• Turn complex AI ideas into clear, practical and engaging learning experiences for students and educators from different disciplines.
• Bring learner and institutional insights back into the design process so the AI Native model continues to evolve.

B. Redesign How People Learn About AI

• Move learning beyond lectures and tool demonstrations towards active, problem-based and learner-centred experiences.
• Help learners work with real challenges from their studies, teaching, research and campus environments.
• Create a space where learners can question, experiment, collaborate and build confidence with AI.

C. Facilitate Real-World and Responsible AI Use

• Guide learners to identify meaningful problems, decide where AI can add value, and use appropriate standard AI tools and technologies.
• Help participants critically assess AI outputs, recognise limitations, and consider ethics, bias, privacy and responsible use.
• Adapt examples and activities to different academic disciplines while protecting the purpose and quality of the AI Native framework.

D. Build Learner Capability and Engagement

• Support learners with different levels of digital confidence and prior exposure to AI.
• Guide participation, activities, assignments and assessments through Tangible, the PBL Course Builder and other approved learning tools.
• Help learners move from curiosity or uncertainty towards confident, independent and responsible AI use.

E. Strengthen the AI Native Model

• Capture learner feedback, successful use cases, learning barriers and emerging needs from each cohort.
• Document evidence of learner engagement, confidence and practical application, together with required attendance and completion records.
• Work with NAAMII curriculum, programme and institutional teams to improve the pedagogy, content and overall learning journey while maintaining inclusive and safeguarding standards.

F. GESI, Accessibility and Safeguarding

• Create an inclusive, respectful and gender-responsive AI learning environment in which women, marginalized groups and learners with different levels of prior access can participate confidently.
• Adapt facilitation, examples, pacing and learner support to reduce barriers related to language, disability, digital access, confidence and previous educational opportunity.
• Promote safe and responsible participation, protect learner wellbeing and privacy, and follow NAAMII and UDAAN safeguarding, GESI and responsible AI standards throughout learning design, delivery and assessment.

Required Qualifications

• Bachelor's degree in education, computer science, IT, or a related field.
• Demonstrated understanding of AI fundamentals and the ability to communicate them clearly to non-technical audiences.
• At least 1–2 years of experience in teaching, training, facilitation, or community education, preferably within academic institutions.
• Strong facilitation and communication skills; ability to engage diverse learner groups.
• Fluency in Nepali; working proficiency in English.

Preferred Qualifications

• Prior experience delivering digital literacy, AI, coding, or technology training in colleges or universities.
• Familiarity with e-learning platforms or project-based learning tools.

Submission Requirements

• Latest CV/Resume: Attach a PDF copy of your most recent CV or resume.
• Cover Letter: Submit a cover letter explaining your first-hand experience relevant to the role and why you believe this position is the best fit for you. Please avoid duplicating information already included in your CV or resume. The cover letter should be no more than one page.
• One-Minute Video: Submit a one-minute video explaining your interest in the role and what motivates you to apply.

Please send all application materials to jobs@naamii.org.np.

About the Organisation

NAAMII is a profit-not-distributing AI Center of Excellence founded by Nepali researchers with a broader vision: to build a self-sustaining AI ecosystem from Nepal that can generate world-class knowledge, prepare people for a rapidly changing future, and translate AI into meaningful social and economic impact.

NAAMII builds this ecosystem through three connected pillars:

• Knowledge Generation: Advancing frontier AI research and working on high-impact problems across areas including computer vision, natural language processing, healthcare, computational genomics, climate systems, agriculture and food systems, and the social dimensions of AI. NAAMII researchers have contributed to more than 80 research publications, demonstrating that globally relevant AI research can be produced from a resource-constrained setting.
• Knowledge Dissemination: Making rapidly evolving AI knowledge understandable and useful across education, government, industry and society. Through initiatives such as the Annual Nepal AI School, which has trained more than 2,500 participants from over 40 countries, NAAMII helps people not only adapt to an AI-enabled world, but also build the confidence and capability to contribute to it.
• Translation and Innovation: Turning research and talent into real-world value through industry R&D, startup building and incubation. NAAMII has supported the incubation of three startups and contributes evidence and expertise to wider conversations on responsible AI, policy and governance.

A central challenge within this ecosystem is learning. As AI reshapes jobs, institutions and sectors, conventional education cannot respond through lectures or one-time tool demonstrations alone. People need learning experiences that help them understand AI, apply it to real problems, question its outputs and continue adapting as technologies change. The curriculum follows a problem-based learning model, where learners build evidence of their capabilities as they progress by solving real-world problems. Their learning is validated against competency models, enabling them to develop and demonstrate practical, hands-on skills.

NAAMII's approach is grounded in the AI Pyramid, a conceptual framework that recognises that AI capability is not one-size-fits-all. AI Native provides the broad baseline: the confidence, judgment and responsible habits needed to reason and work effectively with AI in everyday life, learning and professional contexts. AI Foundation develops role-specific capability to build, integrate and sustain AI-enabled workflows and systems, while AI Deep prepares advanced learners to conduct frontier research and develop new methods. The pyramid is not a ladder that everyone must climb; rather, it represents the different and interdependent levels of capability needed across society and the workforce.

About the Project

The UDAAN (Unleashing Digital Acceleration and Ambition of Nepali Youth) project, led by Youth Innovation Lab together with NAAMII, Heifer Project Nepal, and Women In Animation and supported by the European Union, is a nationwide initiative aimed at empowering young women and men across Nepal with the skills, opportunities, and resources needed to thrive in the digital economy.

Implemented over four years, the project focuses on advancing digital literacy, fostering innovation and entrepreneurship, and creating pathways to employment through training programs in AI, coding, and creative technologies, as well as internships, fellowships, and innovation hubs in partnership with local governments, academic institutions, and the private sector.

With a strong commitment to gender equality and social inclusion, UDAAN prioritizes marginalized and underrepresented youth, contributing to a more inclusive, resilient, and future-ready workforce in Nepal. The action is implemented through four interconnected components:

• PATHSHALA - Digital Skills Development: Builds future-ready digital skills through AI, Coding, and Animation schools. Using tiered, hybrid learning, it prepares young Nepali women and men for jobs, innovation, and entrepreneurship in the digital economy.
• KARYASHALA - Innovation and Experimentation: Transforms youth skills into real-world digital solutions through hackathons and bootcamps. It nurtures innovation with mentorship and incubation, turning ideas into a scalable impact.
• KARMASHALA - Employment and Career Pathways: Connects young Nepali youth to real-world work experience through internships and fellowships. It bridges skills to careers by placing youth in government and private sector roles, building employability, and professional confidence.
• NITISHALA - Policy and System Strengthening: Strengthens youth participation in digital governance through policy dialogues, innovation hubs, and civic engagement. It bridges youth, communities, and local governments to institutionalize inclusive and sustainable digital transformation.