Teacher of Artificial Intelligence Job Snapshot - Role: Teacher of Artificial Intelligence - Location: Abu Dhabi, United Arab Emirates - Industry: Primary-Secondary Education - Function: Classroom Teaching - Experience: Minimum 2 years of teaching experience - Job Type: Full Time - Work Arrangement: On-site
Position Overview
Aldar Education is seeking an outstanding Teacher of Artificial Intelligence to join Muna British Academy in Abu Dhabi for the 2027/28 academic year. This opportunity is ideal for an enthusiastic educator who can inspire curiosity about emerging technologies, develop students ' understanding of AI and encourage responsible innovation. The successful candidate will contribute to the development of the school 's Artificial Intelligence curriculum, guiding students from foundational AI literacy towards practical applications, solution design and future qualifications. The role requires strong knowledge of artificial intelligence, machine learning and data literacy, combined with the teaching skills needed to make complex technical concepts accessible to students of different abilities. Through engaging lessons, practical projects and critical evaluation, the teacher will help students explore AI technologies, understand their impact and develop solutions to meaningful challenges. The position also involves promoting ethical decision‑making, responsible technology use and independent thinking. Beyond classroom teaching, the successful candidate will support AI and innovation clubs, robotics projects and enrichment opportunities while contributing to the school 's values of Ambition, Responsibility and Respect.
Job Details
Job Details - Country: United Arab Emirates - City: Abu Dhabi - Industry: Primary-Secondary Education - Function: Classroom Teaching - Salary: Not disclosed - Gender: No Preference - Candidate Nationality: Not specified - Job Type: Full Time - Work Arrangement: On-site
Teaching and Learning Responsibilities
- Deliver engaging and well-structured Artificial Intelligence lessons that develop conceptual understanding, practical competence and confidence in emerging technologies.
- Plan progressive learning activities that move students from basic AI awareness and informed use towards solution design, implementation and evaluation.
- Apply clear explanations, modelling, questioning, retrieval activities and purposeful practice to help students understand unfamiliar technical concepts.
- Teach the fundamental data handling, logical reasoning and programming skills required for practical AI projects.
- Introduce block-based programming, low-code environments and Python-based approaches according to students ' abilities and prior knowledge.
- Explore real-world applications of artificial intelligence, including image classification, natural language processing, predictive models and generative AI.
- Adapt teaching strategies to support learners across the full ability range, including students with special educational needs (POD/SEN), English as an Additional Language (EAL) requirements and gifted and talented learners.
- Encourage independence, resilience and collaboration through problem identification, prototyping, testing, reflection and continuous improvement.
- Establish stimulating classroom environments with clear expectations for the responsible and safe use of digital devices, software and approved AI resources.
- Contribute to AI curriculum development, planning and review, using evidence of student learning and relevant technological developments to inform improvements.
Artificial Intelligence Curriculum and Responsible Practice
- Align AI teaching with ADEK curriculum expectations covering conceptual understanding, critical evaluation, solution design and responsible governance.
- Support student progression towards AI Solution Builder by Grade 8 (Year 9) and subsequently towards the Systems and Solutions Designer stage.
- Explain how data, algorithms and machine-learning models generate predictions and content, helping students distinguish between rule-based programming, machine learning and generative AI.
- Develop accessible AI projects that enable students to define problems, select appropriate non-sensitive data, build or train simple models and evaluate results.
- Teach students to test AI solutions systematically, interpret their outcomes and communicate their limitations.
- Introduce controlled AI applications and simple agent workflows where appropriate, ensuring clear task boundaries, testing procedures and human oversight.
- Develop critical evaluation skills by teaching students to verify AI-generated claims against reliable sources and recognise fabricated or inaccurate information.
- Encourage informed discussion about algorithmic bias, fairness, ethical responsibility and the environmental impact of AI technologies.
- Use only school-approved AI tools that meet applicable ADEK requirements, including privacy protection, safeguarding, age restrictions and cultural considerations.
- Demonstrate responsible uses of AI for questioning, feedback and debugging while requiring students to explain their decisions and demonstrate independent understanding.
- Ensure students acknowledge permitted AI assistance and understand the importance of academic honesty.
- Provide unplugged, teacher-modelled and supported learning activities for students who cannot independently access particular AI platforms.
- Incorporate suitable ADEK and Day of AI educational resources, adapting materials to students ' prior knowledge, language needs and curriculum requirements.
- Collaborate with subject colleagues to connect AI learning with sustainability, accessibility, Arabic and multilingual communication, enterprise and UAE innovation.
Qualifications, Certification and Learning Pathways
- Evaluate potential AI qualifications and certification pathways according to their educational value, learner age, readiness, accessibility, assessment requirements, cost and recognition.
- Support school-approved industry certifications, including opportunities such as Pearson Generative AI Foundations.
- Explore appropriate digital credentials and learning resources, including relevant IBM SkillsBuild programmes.
- Contribute to the evaluation and potential delivery of approved vocational or project-based qualifications as older student cohorts develop.
- Consider pathways such as Pearson BTEC International Level 3 Artificial Intelligence for students aged 16 and above and the Extended Project Qualification (EPQ) AI pathway.
- Evaluate suitable BCS or Microsoft AI certifications for student extension opportunities or professional learning, considering eligibility and relevance.
- Help students distinguish between regulated academic qualifications, industry certifications, digital badges and participation awards.
- Prepare students for approved assessments and portfolio submissions, following applicable provider requirements for authenticity, feedback, internal assessment and quality assurance.
- Connect appropriate qualification and certification options with students ' educational aspirations and potential future careers.
Assessment, Progress and Student Achievement
- Monitor student attainment and progress through appropriate assessment data, classroom evidence and practical learning outcomes.
- Identify learners requiring additional academic support or greater challenge and adapt teaching accordingly.
- Provide clear, constructive feedback on AI understanding, data handling, project design, model testing, ethical reasoning and technical explanations.
- Prepare students for internal assessments and approved external certification through structured guidance, practical activities and review.
- Participate in departmental moderation and standardisation processes to maintain reliable and consistent assessment practices.
- Evaluate conceptual understanding and practical application through diagnostic questioning, demonstrations, project reviews and independent tasks.
- Assess AI projects using portfolios, testing evidence, student reflection and oral explanations, including activities completed without AI assistance.
- Support twice-yearly AI Growth Test administration and subsequent bridging lessons where required, working with the school 's assessment and AI leads.
- Apply the assessment and academic integrity requirements of relevant approved providers, including Pearson and JCQ rules where applicable.
- Help students interpret data and evaluate AI solutions against defined criteria, including reliability, usefulness, fairness and technical limitations.
- Encourage students to reflect on their learning, explain their decisions and develop confidence in evaluating AI-generated outcomes.
Behaviour Management and Student Wellbeing
- Maintain high expectations for classroom behaviour, engagement and achievement in accordance with school policies.
- Use positive behaviour management strategies to create focused, respectful and productive learning environments.
- Establish supportive relationships with students that encourage responsibility, independence and mutual respect.
- Act as a positive role model and consistently demonstrate the school 's values and professional standards.
- Contribute to students ' pastoral development, wellbeing and personal growth.
- Maintain a safe and inclusive classroom environment that supports curiosity, creativity and responsible experimentation.
- Uphold safeguarding and child protection requirements throughout teaching and wider school activities.
Professional Responsibilities and Wider School Contribution
- Participate in AI and innovation clubs, robotics activities, competitions and student showcases that extend learning beyond the classroom.
- Support enrichment opportunities through EDGE and wider school programmes, promoting inclusive participation.
- Evaluate potential student involvement in initiatives such as the Technovation Challenge, UAE STEAM activities and robotics competitions.
- Consider the eligibility requirements, educational value and associated costs of extracurricular opportunities before recommending participation.
- Contribute to cross-curricular initiatives connecting artificial intelligence with creativity, sustainability, accessibility, innovation and enterprise.
- Participate in departmental planning, curriculum reviews, professional development and collaborative activities with colleagues.
- Complete ADEK foundational AI training and relevant continuing professional development.
- Share classroom evidence, practical teaching resources and professional insights with colleagues through the school 's AI leadership arrangements.
- Collaborate with IT, Inclusion and pastoral teams to promote equitable access to technology and appropriate guidance on responsible AI use.
- Support communication with parents and students regarding safe and effective engagement with artificial intelligence.
- Maintain accurate student records and contribute to assessment reporting, parent communications and school administration.
- Carry out additional responsibilities in accordance with school policies and leadership expectations.
- Maintain high standards of professional conduct, safeguarding and child protection.
Required Qualifications
- Bachelor 's degree in Artificial Intelligence, Computer Science, Data Science, Computing, Software Engineering or a directly related discipline.
- PGCE or another recognised teaching qualification.
- Relevant postgraduate study or professional certification in artificial intelligence, machine learning, data science or responsible AI is desirable.
Experience Requirements
- Minimum of two years of teaching experience delivering the English National Curriculum.
- Previous experience working with students for whom English is not their first language.
- Recent and consistent involvement in extracurricular activities.
Subject Knowledge and Technical Skills
- Strong knowledge of artificial intelligence, machine learning, data literacy and emerging technologies.
- Understanding of AI concepts, including algorithms, data modelling, natural language processing and generative AI.
- Ability to teach programming and practical AI applications through Python, block-based programming or low-code platforms suited to students ' learning levels.
- Knowledge of responsible AI principles, including data privacy, algorithmic bias, fairness, safeguarding and academic integrity.
- Awareness of ADEK AI curriculum expectations and the ability to incorporate them into effective classroom teaching.
- Ability to design inclusive, engaging and appropriately challenging lessons that develop conceptual understanding and practical skills.
- Strong assessment, classroom management, communication and organisational capabilities.
- Ability to explain complex technical concepts clearly and make AI learning relevant to real-world challenges.
- Commitment to promoting critical thinking, ethical decision-making and responsible engagement with technology.
Personal and Professional Attributes
- Enthusiasm for Artificial Intelligence education and its potential to enrich students ' learning experiences.
- A positive, proactive and solution-focused approach to professional responsibilities.
- The ability to engage learners with different academic abilities, backgrounds and language needs.
- Strong professional judgement and consideration for the welfare and wellbeing of children.
- Commitment to continuous learning and keeping professional knowledge relevant to developments in AI education.
- Respect for all members of the school community, irrespective of position, gender, age or ethnic background.
- Willingness to collaborate with colleagues and contribute to school improvement initiatives.
- A professional approach to classroom relationships, safeguarding and responsible technology use.
- A clean enhanced Disclosure and Barring Service (DBS) check or equivalent police clearance.
What Aldar Education Offers
Aldar Education offers an attractive remuneration package and professional development opportunities for its teaching staff.
- Medical cover.
- Flights.
- Housing.
- Free school places for eligible children.
- Professional development, coaching and training opportunities.
- Access to a wide network of education professionals.
- Opportunities to contribute to curriculum development, professional learning and the development of colleagues.
About Aldar Education
Aldar Education is a UAE-based group of child-centred and innovative schools, educating more than 25,000 students across its network of owned and managed educational institutions. The organisation focuses on delivering high-quality education through future-oriented learning, professional collaboration and a commitment to student achievement and wellbeing. Through its growing school network, Aldar Education supports professional development, coaching and training while encouraging educators to contribute to the advancement of teaching and learning. Aldar Education is an equal opportunities employer committed to a diverse and inclusive working environment. In support of its national development strategy, UAE Nationals are encouraged to apply. The organisation is committed to safeguarding and promoting the welfare of children and young people. All staff are expected to share this commitment, and appointments are subject to satisfactory safeguarding, background, reference and other applicable pre-employment checks. Aldar Education reserves the right to amend the job description in accordance with its educational and operational requirements.