primary teacher

The School of Research Science

<div>
 
 Company Description
 
 The School of Research Science is an international school in Dubai committed to high academic standards and holistic student development. The school emphasizes inquiry-based learning, critical thinking, and innovation across all subject areas. With a diverse student body and staff, it promotes an inclusive, collaborative, and respectful learning environment. The School of Research Science supports professional growth through training, mentoring, and opportunities for career progression. Its mission focuses on preparing learners to succeed in a global, research-driven world.
 
 
 Role Description
 
 This is a full-time, on-site Mathematics Teacher role based in Dubai. The Mathematics Teacher will plan and deliver engaging mathematics lessons that align with the school&rsquo;s curriculum and learning objectives. Daily responsibilities include preparing lesson plans, teaching classes across assigned grade levels, assessing student progress, and providing constructive feedback. The role involves differentiating instruction to meet diverse learning needs, integrating problem-solving and real-life applications, and maintaining accurate records of student achievement. The teacher will collaborate with colleagues on curriculum planning, participate in parent meetings and school events, and contribute to a positive, safe, and respectful classroom environment.
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong subject-matter expertise in
 
 Mathematics
 
 and
 
 Mathematics Education
 
 , with the ability to explain concepts clearly and accurately.
 </li>
 <li>
 Proven experience in
 
 Lesson Planning
 
 and
 
 Curriculum Development
 
 , including designing differentiated and engaging learning activities.
 </li>
 <li>
 Recognized status as a
 
 Qualified Teacher
 
 , with appropriate teaching certification or licensure for school-level mathematics.
 </li>
 <li>
 Bachelor&rsquo;s degree or higher in Mathematics, Mathematics Education, or a closely related field.
 </li>
 <li>
 Experience teaching in an international or diverse school setting is highly desirable.
 </li>
 <li>
 Strong classroom management skills and a student-centered, inclusive approach to teaching.
 </li>
 <li>
 Effective communication and collaboration skills, with the ability to work closely with students, colleagues, and families.
 </li>
 <li>
 Commitment to ongoing professional development and openness to feedback and reflective practice.
 </li>
 </ul>
</div>

Mathematics Teacher - US Curriculum

Al-Futtaim

<div>
 
 About Al-Futtaim Education Foundation
 
 
 
 Al-Futtaim Education Foundation (AFEF) is a not-for-profit initiative launched by the Al-Futtaim Family, with the aim of meaningfully impacting the education landscape in the UAE, the region, and beyond. The Foundation provides operational and academic oversight of its schools and supports them through a wide range of educational initiatives, guided by three core principles:
 
 Legacy, Community, and Future.
 
 
 
 
 Our Schools
 
 
 
 
 Deira International School (DIS)
 
 &mdash; an internationally accredited IB World School located on a state-of-the-art 70,000 sq. metre campus in Dubai Festival City, welcoming a student body of 1,500 pupils representing 75 nationalities. DIS holds an Outstanding rating from both KHDA and BSO, making it one of Dubai's most recognised schools for academic excellence.
 
 
 
 Universal American School (UAS)
 
 &mdash; an internationally accredited IB World School also located in Dubai Festival City, serving a diverse student community of 1,500 students from 75 nationalities. UAS is rated Very Good by KHDA and offers a rich curriculum spanning Early Years through to High School, with a strong focus on experiential and student-centred learning.
 
 
 
 Al-Futtaim Education Foundation
 
 is seeking a dedicated and compassionate Learning Support Assistant (LSA) to join our team across
 
 Deira International School
 
 and
 
 Universal American School
 
 &mdash; two of Dubai's most highly regarded international schools. The LSA will work under the direction of the class teacher to provide targeted in-class support that enables all learners to access the curriculum, build confidence, and reach their full potential.
 
 
 
 Classroom support
 
 
 
 <ul>
 <li>
 Support the class teacher in delivering engaging, differentiated lessons across all subjects and year groups
 </li>
 <li>
 Work with individual students or small groups to reinforce learning objectives and build confidence
 </li>
 <li>
 Adapt resources and activities to meet the diverse needs of learners in the classroom
 </li>
 <li>
 Assist students with tasks and materials to ensure full participation in lessons
 
 
 </li>
 </ul>
 
 Student wellbeing &amp; pastoral care
 
 
 
 <ul>
 <li>
 Monitor student wellbeing and promptly communicate concerns to the class teacher
 </li>
 <li>
 Promote a safe, respectful, and inclusive learning environment for all students
 </li>
 <li>
 Support students during transitions, break times, and school activities as required
 
 
 </li>
 </ul>
 
 Planning &amp; assessment support
 
 
 
 <ul>
 <li>
 Collaborate with teachers to prepare differentiated activities and appropriate learning materials
 </li>
 <li>
 Observe and record student progress, feeding back relevant information to the class teacher
 </li>
 <li>
 Contribute to student support plan reviews and attend team meetings as required
 </li>
 <li>
 Assist with the organisation of classroom resources and learning displays
 
 
 </li>
 </ul>
 We&rsquo;re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish.
 
 
 Before you click &ldquo;apply&rdquo;: Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence.
 
 
 As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.
</div>

UAE national - Learning Support Assistant

iEnglish Language Institute

We are seeking a dynamic and enthusiastic Part-Time Mental Math Teacher to join our educational team. As a Mental Math Teacher, you will be responsible for delivering engaging and effective mental math lessons to students, helping them develop strong foundational math skills and a love for learning. This position is ideal for individuals passionate about mathematics education and seeking a flexible part-time role.Responsibilities:<ul><li>Conduct Mental Math Classes:</li><li>Plan and deliver effective mental math lessons to students of various age groups and skill levels.</li><li>Utilize creative and interactive teaching methods to engage students in the learning process.</li><li>Develop Curriculum:</li><li>Create and update mental math curriculum materials that align with educational standards and cater to the specific needs of students.</li><li>Assess and Monitor Progress:</li><li>Implement regular assessments to evaluate students' progress and identify areas for improvement.</li><li>Provide constructive feedback to students and parents on performance and areas for growth.</li><li>Individualized Instruction:</li><li>Tailor instruction to meet the individual learning styles and needs of each student.</li><li>Foster a positive and supportive learning environment that encourages student participation and success.</li><li>Communication:</li><li>Maintain open and clear communication with students, parents, and colleagues regarding progress, challenges, and achievements.</li><li>Address any concerns or inquiries in a timely and professional manner.</li><li>Professional Development:</li><li>Stay informed about current educational trends and methodologies related to mental math instruction.</li><li>Attend training sessions and workshops to enhance teaching skills and knowledge.</li><li>Classroom Management:</li><li>Establish and maintain a positive and respectful classroom atmosphere conducive to effective learning.</li><li>Implement appropriate behavior management strategies when necessary.</li></ul>Requirements:<ul><li>Bachelor's degree in Education, Mathematics, or a related field.</li><li>Previous experience in teaching mental math or related subjects is preferred.</li><li>Strong understanding of mental math techniques and strategies.</li><li>Excellent communication and interpersonal skills.</li><li>Ability to create a positive and inclusive learning environment.</li><li>Flexibility in working hours for part-time scheduling.</li></ul>If you are passionate about mathematics education and possess the necessary qualifications, we invite you to join our team and contribute to the academic success of our students.Job Type: Part-timeLanguage:<ul><li>Arabic (Required)</li></ul>Work Location: In person

Part-Time Mental Math Teacher

Dyson

<div>
 
 About Us
 
 
 
 At Dyson, we&rsquo;re driven by a relentless pursuit of innovation&mdash;pushing boundaries in engineering, AI, and robotics. Our new Data Intelligence team sits at the heart of this mission: shaping Dyson&rsquo;s future through data. Here, we blend creativity, precision, and audacity to power intelligent products. We craft data strategies and pipelines that fuel the next generation of connected devices.
 
 
 You&rsquo;ll work alongside brilliant minds from Dyson global engineering team and external software/hardware partners in an environment built for exploration, discovery, delivery and impact.
 
 
 
 About the role
 
 
 We are looking for a specialized Data Intelligence Machine Learning Engineer to design and implement in-house tools that automate our data labelling pipelines. Your primary goal will be to reduce our reliance on manual annotation by leveraging techniques like Active Learning, Weak Supervision, and Synthetic Data Generation. You will bridge the gap between raw data collection and model-ready datasets, ensuring high-quality labels at scale.
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Architect Labelling Pipelines: Design and deploy end-to-end automated labelling systems using frameworks like Snorkel, Cleanlab, or custom active learning loops.
 </li>
 <li>
 Develop "Human-in-the-Loop" (HITL) Systems: Build interfaces and workflows where models pre-label data and humans only intervene on high-uncertainty samples.
 </li>
 <li>
 Quality Assurance &amp; Denoising: Implement algorithmic checks to identify and correct mislabelled or "noisy" data within existing datasets.
 </li>
 <li>
 Tooling &amp; Integration: Collaborate with software engineers to integrate labelling tools with our existing data lakes and ML training infrastructure.
 </li>
 <li>
 Model Optimization: Fine-tune "teacher" models to generate high-quality pseudo-labels for "student" models.
 </li>
 <li>
 Set up and maintain robust data preparation infrastructure&mdash;optimising for data quality, speed, and seamless integration with downstream MLOps pipelines.
 </li>
 <li>
 Perform data visualization and in-depth analysis using advanced data and feature engineering techniques. You&rsquo;ll help transform raw data into actionable insight, supporting both research and deployment.
 </li>
 <li>
 Work closely with Data Scientists, Software Engineers, and Product teams to ensure high data quality and usability across products and projects.
 
 
 
 </li>
 </ul>
 
 About you
 
 
 
 <ul>
 <li>
 At least 3+ years of professional experience in Machine Learning engineering, specifically focused on data centric-AI or computer vision/NLP pipelines.
 </li>
 <li>
 Proficiency in Python: Mastery of the Machine Learning stack (PyTorch or TensorFlow, NumPy, Pandas, Scikit-learn).
 </li>
 <li>
 Automated Labelling Expertise: Proven experience with Weak Supervision (labelling functions) or Active Learning strategies (uncertainty sampling, diversity sampling).
 </li>
 <li>
 Data Engineering: Experience with SQL and NoSQL databases, and managing large-scale unstructured data (images, text, or audio).
 </li>
 <li>
 Cloud Infrastructure: Familiarity with AWS (SageMaker Ground Truth), GCP (Vertex AI), or Azure ML labelling services.
 </li>
 <li>
 Version Control for Data: Experience with DVC (Data Version Control) or similar tools to track dataset iterations.
 </li>
 <li>
 Hands-on expertise building auto-labelling solutions or working with large-scale data annotation workflows.
 </li>
 <li>
 Advanced skills in Python (and/or other relevant languages), and experience with key ML/data science libraries (e.g. TensorFlow, PyTorch, scikit-learn, pandas).
 </li>
 <li>
 Experience designing, deploying, and maintaining scalable data pipelines, including data cleansing, transformation, and storage (cloud, on-prem, or hybrid).
 </li>
 <li>
 Strong background in feature engineering, data analysis, and data visualization&mdash;comfortable using tools like Jupyter, Tableau, or Power BI.
 </li>
 <li>
 Great communicator who documents solutions clearly and collaborates effortlessly across technical and non-technical teams.
 </li>
 <li>
 Able to balance speed and quality, stay curious about new developments, and deliver results in a fast-moving environment.
 </li>
 <li>
 Bachelor&rsquo;s or Master's degree in computer science, Engineering, Mathematics, Data Science, or a related field.
 
 
 
 </li>
 </ul>
 Dyson is an equal opportunity employer. We know that great minds don&rsquo;t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.
</div>

Data Intelligence Machine Learning Engineer

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 About Us
 
 
 
 At Dyson, we&rsquo;re driven by a relentless pursuit of innovation&mdash;pushing boundaries in engineering, AI, and robotics. Our new Data Intelligence team sits at the heart of this mission: shaping Dyson&rsquo;s future through data. Here, we blend creativity, precision, and audacity to power intelligent products. We craft data strategies and pipelines that fuel the next generation of connected devices.
 
 
 You&rsquo;ll work alongside brilliant minds from Dyson global engineering team and external software/hardware partners in an environment built for exploration, discovery, delivery and impact.
 
 
 
 About the role
 
 
 We are looking for a specialized Data Intelligence Machine Learning Engineer to design and implement in-house tools that automate our data labelling pipelines. Your primary goal will be to reduce our reliance on manual annotation by leveraging techniques like Active Learning, Weak Supervision, and Synthetic Data Generation. You will bridge the gap between raw data collection and model-ready datasets, ensuring high-quality labels at scale.
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Architect Labelling Pipelines: Design and deploy end-to-end automated labelling systems using frameworks like Snorkel, Cleanlab, or custom active learning loops.
 </li>
 <li>
 Develop "Human-in-the-Loop" (HITL) Systems: Build interfaces and workflows where models pre-label data and humans only intervene on high-uncertainty samples.
 </li>
 <li>
 Quality Assurance &amp; Denoising: Implement algorithmic checks to identify and correct mislabelled or "noisy" data within existing datasets.
 </li>
 <li>
 Tooling &amp; Integration: Collaborate with software engineers to integrate labelling tools with our existing data lakes and ML training infrastructure.
 </li>
 <li>
 Model Optimization: Fine-tune "teacher" models to generate high-quality pseudo-labels for "student" models.
 </li>
 <li>
 Set up and maintain robust data preparation infrastructure&mdash;optimising for data quality, speed, and seamless integration with downstream MLOps pipelines.
 </li>
 <li>
 Perform data visualization and in-depth analysis using advanced data and feature engineering techniques. You&rsquo;ll help transform raw data into actionable insight, supporting both research and deployment.
 </li>
 <li>
 Work closely with Data Scientists, Software Engineers, and Product teams to ensure high data quality and usability across products and projects.
 
 
 </li>
 </ul>
 
 About you
 
 
 
 <ul>
 <li>
 At least 3+ years of professional experience in Machine Learning engineering, specifically focused on data centric-AI or computer vision/NLP pipelines.
 </li>
 <li>
 Proficiency in Python: Mastery of the Machine Learning stack (PyTorch or TensorFlow, NumPy, Pandas, Scikit-learn).
 </li>
 <li>
 Automated Labelling Expertise: Proven experience with Weak Supervision (labelling functions) or Active Learning strategies (uncertainty sampling, diversity sampling).
 </li>
 <li>
 Data Engineering: Experience with SQL and NoSQL databases, and managing large-scale unstructured data (images, text, or audio).
 </li>
 <li>
 Cloud Infrastructure: Familiarity with AWS (SageMaker Ground Truth), GCP (Vertex AI), or Azure ML labelling services.
 </li>
 <li>
 Version Control for Data: Experience with DVC (Data Version Control) or similar tools to track dataset iterations.
 </li>
 <li>
 Hands-on expertise building auto-labelling solutions or working with large-scale data annotation workflows.
 </li>
 <li>
 Advanced skills in Python (and/or other relevant languages), and experience with key ML/data science libraries (e.g. TensorFlow, PyTorch, scikit-learn, pandas).
 </li>
 <li>
 Experience designing, deploying, and maintaining scalable data pipelines, including data cleansing, transformation, and storage (cloud, on-prem, or hybrid).
 </li>
 <li>
 Strong background in feature engineering, data analysis, and data visualization&mdash;comfortable using tools like Jupyter, Tableau, or Power BI.
 </li>
 <li>
 Great communicator who documents solutions clearly and collaborates effortlessly across technical and non-technical teams.
 </li>
 <li>
 Able to balance speed and quality, stay curious about new developments, and deliver results in a fast-moving environment.
 </li>
 <li>
 Bachelor&rsquo;s or Master's degree in computer science, Engineering, Mathematics, Data Science, or a related field.
 
 
 </li>
 </ul>
 Dyson is an equal opportunity employer. We know that great minds don&rsquo;t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.
 
 
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: http://careers.dyson.com Job Function: Engineering Company Industry/
 
 
 Sector: Appliances Electrical and Electronics Manufacturing
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

Diverse Performing Arts Center

JOB DESCRIPTION &amp; PERSON SPECIFICATIONJob DescriptionJob Title: Musical Director and Singing TeacherDept/Faculty: Musical TheatreLocation: Diverse Performing Arts Center, The Curve Building, Al Quoz 3, DubaiResponsible to: Head of Musical Theatre, Vice-Principal and Principals (Scott Marshall and Lisa Marshall)Internal/External Contacts: Senior Managers, Students, UK and International Industry Professionals1. Role OverviewThe Musical Director and Singing Teacher will play a key role within the Musical Theatre department, supporting the artistic and educational development of students aged 4-18. Working closely with the Head of Musical Theatre, this individual will deliver high-quality singing tuition, provide musical direction for productions and contribute to the delivery of an outstanding musical theatre programme.The successful candidate will inspire students of all abilities, helping to prepare them for examinations, performances, auditions and potential professional careers. They will be an exceptional musician, confident accompanist and experienced musical director who can work collaboratively with staff and students to deliver high-quality teaching and productions.Playing piano is an essential requirement of this role.2. Key ResponsibilitiesArtistic and Educational Delivery<ul><li>Teach singing to students of all ages and abilities, ensuring the development of strong vocal technique, musicianship and performance skills.</li><li>Teach on the BTEC International Level 3 Performing Arts Programme.</li><li>Play piano to support classes, rehearsals, examinations and performances.</li><li>Accompany students during singing lessons, coaching sessions and rehearsals.</li><li>Support the artistic development of students, enhancing both their technical abilities and creative expression.</li><li>Deliver engaging and inspiring lessons that align with industry standards and support student progression.</li><li>Prepare students for examinations, auditions, competitions and future professional opportunities.</li></ul>Musical Direction and Production Management<ul><li>Serve as Musical Director for productions, ensuring high-quality musical interpretation and performance standards.</li><li>Musically direct at least one full-length musical theatre production annually, in addition to supporting two other major productions throughout the year.</li><li>Direct the musical elements of productions, including vocal direction, harmonies, accompaniment and ensemble work.</li><li>Collaborate with the Head of Musical Theatre, Heads of Department, production teams and external creatives to deliver high-quality performances.</li><li>Support all stages of production, from initial planning and auditions through to final performances.</li><li>Manage rehearsals and student performances, maintaining professional expectations and standards throughout.</li></ul>Operational Responsibilities<ul><li>Support the planning and delivery of classes, rehearsals and events within the Musical Theatre department.</li><li>Maintain high standards of health and safety across all teaching practices, rehearsals and performances.</li><li>Contribute ideas and initiatives that enhance the student experience and support departmental growth.</li><li>Foster positive relationships with industry professionals to provide students with real-world insight and opportunities.</li><li>Work collaboratively with colleagues across all departments to support the wider vision and goals of Diverse Performing Arts Center.</li></ul>3. Required Skills and Experience<ul><li>Minimum of 2 years' teaching experience in musical theatre.</li><li>Proven ability to teach musical theatre in both group and one-to-one settings.</li><li>Piano skills are essential, with the ability to confidently accompany classes, rehearsals, examinations and performances.</li><li>Experienced Musical Director with the ability to arrange and direct the musical elements of theatre productions.</li><li>Experience teaching singing to students of varying ages and abilities.</li><li>Bachelor's degree in a related subject (preferred).</li><li>Industry experience within performing arts and a strong understanding of professional musical theatre standards and expectations.</li><li>Strong creative vision with the ability to bring scripts and scores to life through engaging and innovative productions.</li><li>Extensive knowledge of musical theatre repertoire, vocal techniques, performance history and industry practices.</li><li>Excellent communication, organisational and interpersonal skills.</li><li>Hard-working, adaptable and able to work effectively within a collaborative team environment.</li><li>Proven ability to inspire and motivate students from beginner to pre-professional level.</li></ul>4. Desirable<ul><li>Experience teaching BTEC Level 3 Performing Arts.</li><li>Industry connections or professional experience that can provide students with unique insight into the world of musical theatre.</li><li>Experience working within a vocational or conservatoire-style training environment.</li><li>Bachelor's degree in a related subject.</li></ul>Salary and BenefitsSalary: Commensurate with experienceBenefits:<ul><li>UAE Residence Visa</li><li>Annual Flight (for overseas hires)</li><li>Group Medical Insurance</li></ul>Application Deadline: 01/07/26Work Location: In person

Musical Director & Singing Teacher

Crossover

<div>
 This role is designed for academic leaders who prefer to design the system rather than critique it from the sidelines. You bring subject-matter fluency sufficient to define high-quality learning, the rigor to translate that vision into rubrics and AI-driven quality measures, and the operational discipline to act decisively on imperfect data. You prioritize measurable student progress and accept accountability for those results.
 
 
 2 Hour Learning pursues an approach seldom seen in software or education. There are no teachers, no textbooks, and no traditional instructional scaffolding beneath the platform. AI serves as the operational foundation. In this position, you deploy it to produce and refine learning content, architect interventions, oversee quality assurance, and advance platform capabilities. The tempo resembles high-performance environments in technology, consulting, or finance rather than conventional schooling, and the reward is complete ownership of student outcomes for your subject across multiple campuses.
 
 
 This position centers on functional leadership. You will develop AI-enhanced learning ecosystem improvements, execute student-performance-driven interventions, author evidence-backed decision documentation, and lead a team measured against objective benchmarks tied to MAP, AP, SAT, and ISEE performance. You will collaborate closely with product, engineering, and data science teams to shape platform evolution. It suits individuals who instinctively turn to AI, conduct their own analyses, deliver under uncertainty, and assume full responsibility for outcomes. It will not suit those who favor consensus-driven timelines, minimal accountability, or reliance on established frameworks.
 
 
 You will hold a central leadership position within the academics organization, wielding meaningful influence over subject-area performance and the broader learning infrastructure. Colleagues will depend on your standards, judgment, and capacity to translate student data into executable plans. If that prospect feels motivating rather than daunting, this role is likely aligned with your strengths.
 
 
 
 What You Will Be Doing
 
 
 
 <ul>
 <li>
 Learning Ecosystem Enhancements &mdash; AI-generated refinements to K&ndash;12 subject-specific learning experiences, spanning content, adaptive pathways, and student interventions, informed by student feedback, analytics, assessments, and coaching observations.
 </li>
 <li>
 Data-Driven Academic Interventions &mdash; Targeted intervention strategies for underperforming students or cohorts, guided by MAP, AP, SAT, ISEE, and related performance metrics.
 </li>
 <li>
 Student Performance Decision Records &mdash; Reusable, evidence-supported decisions that document actions taken to improve student performance, backed by dashboards, analytics, tickets, surveys, coaching interactions, and assessment results.
 </li>
 <li>
 Learning Ecosystem Improvement Specs &mdash; Actionable specifications for product, engineering, and data science enhancements, featuring problem definitions, supporting data, anticipated student impact, and acceptance criteria.
 
 
 </li>
 </ul>
 
 What You Won&rsquo;t Be Doing
 
 
 
 <ul>
 <li>
 Repackaging traditional education with an AI veneer. This is not about digitizing classroom instruction &ndash; we are reimagining learning fundamentally.
 </li>
 <li>
 Conducting data analysis in a vacuum. You will engage directly and regularly with K-12 students, treating their feedback as critical input from our paying customers.
 </li>
 <li>
 Waiting for consensus before advancing bold ideas. You will advocate for an ambitious vision and mobilize others through data-driven outcomes.
 </li>
 <li>
 Adhering to conventional pedagogical methods. You will have the freedom to explore novel approaches to motivation, assessment, and instruction.
 </li>
 <li>
 Viewing AI as a threat to education. Here, you will leverage AI as a transformative tool to redefine learning experiences.
 
 
 </li>
 </ul>
 
 Head Of Curriculum Key Responsibilities
 
 
 
 Lead innovation in AI-powered, teacher-independent education to achieve outstanding student outcomes across multiple campuses. Integrate data analytics with consistent student engagement to refine our learning ecosystem continuously, as evidenced by AP exam results and MAP assessment growth.
 
 
 
 Basic Requirements
 
 
 
 <ul>
 <li>
 Master's degree or higher in Educational Science, Learning Science, Psychology, Psychometrics, Instructional Design, or a related field
 </li>
 <li>
 At least 5 years of experience in academic or EdTech leadership roles, with direct people management responsibility (hiring, performance evaluation, coaching, termination decisions)
 </li>
 <li>
 Demonstrated experience using AI tools as part of day-to-day professional workflows, and willingness to rely on AI extensively to improve academic and operational outcomes.
 </li>
 <li>
 Strong understanding of learning science principles, such as Cognitive Load Theory and Mayer's Multimedia Principles, and data-driven educational approaches
 
 
 </li>
 </ul>
 
 About 2 Hour Learning
 
 
 
 Education is broken, but 2 Hour Learning is proving it doesn&rsquo;t have to be. They&rsquo;re tearing down the outdated one-size-fits-all model and replacing it with AI-driven personalized learning that helps kids master academics in just two hours a day.
 
 
 
 With students consistently ranking in the top 1-2% nationally and the top 20% achieving an astonishing 6.5x growth, they&rsquo;re proving that smarter learning is possible. At 2 Hour Learning, it&rsquo;s talent and performance that matter.
 
 
 
 They offer a dynamic, on-campus and remote-friendly environment where innovators, educators, and AI specialists can be a part of fixing a broken school system.
 
 
 
 2 Hour Learning is reprogramming learning for the AI era.
 
 
 
 
 Here&rsquo;s How They&rsquo;re Fixing It.
 
 
 
 There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you!
 
 
 
 Working with us
 
 
 
 This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $100 USD/hour, which equates to $200,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic.
 
 
 Crossover Job Code: LJ-4549-AE-Dubai-HeadOfCurricul.017
 
 
</div>

Head Of Curriculum, 2 Hour Learning (Remote) - $200,000/year USD

Explore 61+ Primary teacher in Dubai this July. Find roles across top companies and apply now to boost your career.

61 primary teacher jobs In Dubai

Mathematics Teacher - US Curriculum

UAE national - Learning Support Assistant

Part-Time Mental Math Teacher

Data Intelligence Machine Learning Engineer

Data Intelligence Machine Learning Engineer

Musical Director & Singing Teacher

Head Of Curriculum, 2 Hour Learning (Remote) - $200,000/year USD