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is the leading ed-tech platform in the Middle East, with over 12 million students and teachers using our app to learn, teach, and collaborate. We have recently raised $41 million in Series B funding to expand our reach and impact in the region and beyond. We are on a mission to transform the physical classroom experience by introducing our highly engaging social, group-based learning and AI to make learning fun and improve learning efficacy. Our ultimate goal is to provide access to the best teachers to every student even if that teacher is only available virtually. We believe we can do this if we blend AI, peer-to-peer learning, and a carefully designed physical space.
We are seeking someone with the following skills*:
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Education:
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English language proficiency: Native (Required)
· Educational Background: A Masters in TEFL or TESOL or Cambridge certifications such as CETLA or DELTA (Preferred)
· Certifications and Diplomas on online teaching and learning, hybrid teaching models, online classroom management, strategies to engage online learners. (Preferred)
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Time Zone:
· Time Zone: Available in the Saudi Time Zone to teach classes and receive feedback on the lesson plans (8 30 - 11 30am GMT for classes) 12pm - 2pm GMT For planning & feedback
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Key Responsibilities:
· Support Noon’s teaching of English as a Second Language (ESL) strategy by preparing and delivering creative, engaging and contextual hybrid lessons to the highest standards of ELT.
· Being punctual and timely prepare and upload all material needed before the beginning of the lesson after incorporating feedback
· Plan, prepare and deliver high quality, differentiated lessons that meets the needs of different competency levels in the classroom and takes into account individual learning styles
· Personalize student learning inside the classroom using technology based tools, e.g AI based reading, speaking & writing applications with monitoring dashboards for teachers
· Develop mechanisms to monitor progress and provide regular feedback to help manage students’ performance throughout the course, and actively promote learner autonomy.
· Contribute to the development, evaluation, and improvement of English language courses, materials, in order to meet students’ needs based on key metrics,
· Actively engage in research, professional development and performance management to ensure quality and high standards in teaching and learning.
· Develop, curate and deploy digital assessment tools to assess student baseline competency and monthly progress.
· Keenness to learn the technical aspects of Noon’s platform and what changes are needed in order to improve learning.
Type of Contract: Remote / Contractual / 20-25 hours a week. (Sunday-Thursday)
About Diversity & Inclusion
At Noon, we respect and value differences. We know that when people from different backgrounds and with different points of view work together, we create the most value – for our clients, our people, and society. We’re so lucky to live in a society where differences are celebrated, so we’d expect nothing less from our teams. That means whatever your race, religion, sexual orientation, or gender, this is a place to feel at home, express yourself freely, and make your mark. Noon is proud to be an equal-opportunity employer. We are committed to equal employment opportunity regardless of age, disability, gender identity, marital status, race, colour, ethnicity, religion, sex, national origin, or sexual orientation. We aim to be truly representative of the world and for every employee to feel respected.
About Noon Academy
Noon Academy is the leading edtech platform in the Middle East, with over 12 million students and teachers using our app to learn, teach, and collaborate. We have recently raised $41 million in Series B funding to expand our reach and impact in the region and beyond. We are on a mission to transform the physical classroom experience by introducing our highly engaging social, group-based learning and AI to make learning fun and improve learning efficacy. Our ultimate goal is to provide access to the best teachers to every student even if that teacher is only available virtually. We believe we can do this if we blend AI, peer-to-peer learning, and a carefully designed physical space.
- You visit our Career Site (you being a “Visitor”)
- You connect with us via our Career Site, to create a profile with us and receive information about current or future vacancies with us (you being a “Connecting Candidate”)
- You apply for a position with us, via our Career Site or a third party service (you being an ”Applying Candidate”)
- We collect information about you from other parties, sites and services, since we believe your profile is of interest for our current or future vacancies (you being a “Sourced Candidate”)
- We receive information about you from our employees or partners, since they believe your profile is of interest for our current or future vacancies (you being a “Referred Candidate”)
- We receive information about you from a Candidate, who lists you as their reference (you being a “Reference”).
Device information - If you visit our Career Site, we will collect information about your device, such as IP address, browser type and version, session behaviour, traffic source, screen resolution, preferred language, geographic location, operating system and device settings/usage.
Technical and statistical data - If you visit our Career Site, we will collect technical and statistical data about your use of the site, such as information about which URLs you visit, and your activity on the site.
Communications data - We will collect and store your communication with us, including the information you provided in the communication. This may include the content of emails, video recordings, messages on social media, the information you add to your account with us, surveys, etc.
Contact details - Such as your name, email address, telephone number and physical address.
Data from interviews, assessments and other information from the recruitment process - Such as notes from interviews with you, assessments and tests made, salary requirements.
Information in your application - Such as your CV, cover letter, work samples, references, letters of recommendation and education.
Information in your public profile - Meaning the information we collect about you from public sources related to your professional experience, such as LinkedIn or the website of your current employer.
Information provided by references - Meaning the information we receive from our employees or partners who refer you to us, or by the persons you have listed as your references.
From public sources. We may collect personal data about you from public sources, such as LinkedIn or the website of your current employer.
From our references. We may receive information about you from our employees or partners (such as recruitment service providers), when they believe your profile is of interest for our current or future vacancies.
From your references. If you provide us with references, we may collect information about you from them.
Data we create ourselves or in cooperation with you. Information about your application and profile is usually created by us, or by us in cooperation with you, during the recruitment process. This may for example include notes from interviews with you, assessments and tests made.
Privacy policy for the Noon Academy employer branding and recruitment
Date of publication: 07-06-2024
We at Noon Academy manage our employer branding and recruitment process through our (the “Career Site”), and by using a related applicant tracking system.
In this privacy policy, we explain how we process your personal data if:
This privacy policy also describes what rig
