School agent Jobs

<ul><li><p>Ability to conform to all general and specific technical safety requirements at all times to ensure the health, safety & welfare of self and others at work</p></li><li><p>Any other work as assigned by the supervisor / duty engineer to achieve the purpose.</p></li><li><p>Good Knowledge of Building Management Systems (BMS)</p></li><li><p>Can read, interpret, and describe the functionality of HVAC system drawings (circuit & wiring diagrams / schematic & layout drawings) irrespective of manufacturer</p></li><li><p>Can correctly setup and use test equipment and interpret the test results on standalone and integrated HVAC systems, to include: Manifold Gauge, Digital Multi meter, Clamp Meter, Temperature / Humidity Meter, Vacuum Gauge and Refrigeration Leak Detector.</p></li><li><p>Knowledge in the use & interpretation of Local and International Air Conditioning and Refrigeration Standards and Regulations</p></li><li><p>Ability to perform safely and correctly the following on complex air conditioning and refrigeration (HVAC) equipment and systems.</p></li><li><p>Understands the Electrical & Mechanical Isolations and LOTO system.</p></li><li><p>Perform Planned preventative maintenance (PM) routines, Corrective maintenance (CM), Breakdown maintenance (BD), to include: Air Handling Units, Fan Coil Units, Exhaust, Fresh Air and Extraction Fan, Air Conditioning Systems, Package Units, Ducted Split Units, Decorative Split Units, Window Units, Computer & Server Room Air conditioning Units (CRACUs) and Humidifiers & Dehumidifiers.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Industrial Training Institute Diploma 2 years in Air Conditioning & Refrigeration Maintenance or equivalent (post high school)</p></li><li><p>Minimum three (3) years' experience within a Facility Management or similar environment.</p></li><li><p>Ability to communicate with staff, stakeholders and customers in oral and written English&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p></li><li><p>Working knowledge in MS Office (Word / Excel / Power point)</p></li></ul>

<p><strong>Purpose of the Role</strong>:</p><p>To facilitate the VISA application process & handle front office & back office operations conducted at the respective Visa Application Centers (VACs).</p><br/><p>Areas of Responsibility & brief description</p><p>1.Document scrutiny and collection of applications for visa processing</p><p>2.Handle customer/applicant queries personally or via email, telephone.</p><p>3.Handle cash and bank related transactions if assigned and ensure 100% accuracy</p><p>4.Record & maintain all application data. Ensure accurate & timely data entry into the system with zero errors.</p><p>5.Ensure all administration and logistics of passport delivery to consulate/ applicant / logistic company etc.</p><p>6.Maintain compliance to the standard operating procedures, manuals etc. without deviation in process</p><p>7.Inform the applicants about the available Value Added Services and ensure delivery of Value Added Service options to applicants/ customers.</p><p>8.Encourage applicants to provide feedback on services provided and their overall experience at the application centre.</p><p>9.Ensure that the entire process is completed within the mandated Turn Around Time</p><p>10.Assist Deputy Manager/Operations Manager in execution of WB Project</p><p>11.Ensure judicious use of natural resources</p><p>12.Adhere to the environment health and safety policy/objectives and guidelines of the organization</p><p><strong>Desired Candidate Profile</strong></p><p>Minimum Qualification - Should have passed their High School - Grade 12.</p><br/><p>Minimum Experience - Freshers are open to apply to this job and those with experience can apply too.</p><br/><p>• Proficiency in MS office </p><p>• Adaptability and presence of mind to handle customer queries and complaints</p><p>• Knowledge of Arabic will be a advantage </p><p>•Ability to Innovate and enhance procedures and methods to increase productivity & cost effectiveness</p>

<ul><li><p>Drive vehicles from one point to the next – based on daily instructions and requirements.</p></li><li><p>Ensure adherence to yard rules. Safety of members and Quality of vehicles is top priority</p></li><li><p>Perform basic quality inspection on vehicles within storage yard.</p></li><li><p>Time to time support with any ad-hoc operational requirements as and when requested by supervisor.</p></li><li><p>Perform Careful affixing of RFID Tags on Vehicles.</p></li><li><p>Ensure performance of Process using RFID Scanners.</p></li><li><p>Perform periodical Battery Health check using authorized Devises as per instruction.</p></li><li><p>Perform Battery Fluid check and top up battery fluids as per instructions.</p></li><li><p>Perform Vehicle Waxing on Chrome Parts as per Instructions</p></li><li><p>Perform vehicle wash activities before vehicle delivery</p></li><li><p>Perform fuel dispensing to vehicles as per norms</p></li><li><p>Manage all related fuel station management activities with respect to safety protocols.</p></li><li><p>Record daily fuel utilization in system and perform fuel stock taking.</p></li><li><p>Perform basic quality inspection of all vehicles handled with respect to exterior/Interior (conditions) and moving parts</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p><strong>Educational Qualification&nbsp;</strong></p><ul><li><p>Secondary School Certificate. Diploma / ITI in Automotives /Bachelor’s degree</p></li></ul><br><p><strong>Work Experience&nbsp;</strong></p><ul><li><p>2 years’ experience or more in similar job Profile</p></li></ul><br><p><strong>Competencies&nbsp;</strong></p><ul><li><p>Valid UAE Light Vehicle Driving License (Manual – License No 3 & 5)</p></li><li><p>Basic Math knowledge.</p></li><li><p>Ability to focus on details with respect to Vehicle Models /Specifications /Features/Coloursbility to quickly identify defects /Issues in vehicles. Good Observational ability</p></li><li><p>Quick learner, Adaptability and attitude to learn.</p></li><li><p>Ability to take up tiring job profile which warrants long hours standing, more distance walking and working in hot climatic conditions in an open yard.</p></li><li><p>Sound physical and Mental health & stamina without any chronic ailments, medical history</p></li><li><p>Understands the importance of superior Customer Service.</p></li><li><p>Knowledge on Road-side repairs</p></li></ul><br><p><strong>Languages&nbsp;</strong></p><ul><li><p>Proficiency in writing and Speaking skills in English</p></li></ul></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description We are seeking a Palantir Foundry &amp; AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir’s Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP. Responsibilities · Data &amp; Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry. · AIP &amp; AI Enablement: Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents. Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content. Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology. Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features. · End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications. · User Engagement: Provide training and support for business teams adopting Foundry and AIP. · Governance &amp; Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI. · Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation. Skills Must have Minimum 10 Years of experience in IT/Data. Minimum 5 years of experience as a Data Platform Engineer/Data Engineer. · 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications). 1+ years of hands-on experience with Palantir's AIP (Artificial Intelligence Platform), including: Supporting the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents. Grounding agents and logic flows using RAG (retrieval-augmented generation) — connecting to relevant data sources, embedding/vector search, and ontology content. Applying Ontology-Augmented Generation (OAG) for operational decision-making, where logic, data, actions and relationships are embedded in the Ontology. Collaborating with senior engineers on agent design, instructions, and evaluation using AIP's native features. · Strong technical skills in Python, PySpark, SQL, and data modelling. · Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications. · Ability to work independently and engage directly with non-technical business users. · Strong problem-solving mindset and ownership of delivery. Nice to have · Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing). · Exposure to AIP Evals and evaluation/test-driven approaches. · Experience with integration patterns (APIs, MCP, cloud services). · Consulting or applied AI/ML background. · Experience in Abu Dhabi or the broader MENA region. Other Languages English: C1 Advanced Seniority Senior</p><br> </div>

<ul><li>Design and implement end-to-end AI solutions, from data ingestion and preprocessing to model deployment and monitoring.</li><li>Develop and optimize machine learning algorithms and deep learning models for various applications, ensuring scalability and performance.</li><li>Build robust APIs and microservices to integrate AI models into existing software architectures and applications.</li><li>Create user-friendly interfaces and dashboards for interacting with AI systems and visualizing model outputs.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>System design & architecture (microservices, agent-based systems)</p></li><li><p>REST API & gRPC integration</p></li><li><p>Python backend development</p></li><li><p>Kubernetes/AKS, Helm, progressive delivery (canary/blue-green)</p></li><li><p>Azure cloud services, APIM</p></li><li><p>Semantic Kernel / Microsoft Agent Framework (or similar agent orchestration frameworks) — good to have</p></li><li><p>SSE streaming & async job/task management</p></li><li><p>MongoDB / Cosmos DB</p></li><li><p>Logging, monitoring & observability (Dynatrace, OpenTelemetry — good to have)</p></li><li><p>CI/CD pipelines</p></li><li><p>JWT/OAuth2 authentication patterns</p></li></ul>

<p><strong>Position: Lead Qualification &amp; Distribution Executive</strong></p><p> Department: Sales / Lead Management</p><p>Location: Dubai, UAE</p><p>Industry: Real Estate</p><p>Employment Type: Full-Time</p><p>Reporting To: Admin / Sales Manager </p><p>Job Summary</p><p>We are looking for a Lead Qualification &amp; Distribution Executive to manage and qualify incoming property leads received through Property Finder, Bayut, Dubizzle, and other marketing channels.</p><p>The selected candidate will work as part of the Central Lead Desk, where all incoming leads will be received through the company's dedicated central contact number. The candidate will contact potential clients, understand and qualify their requirements, record accurate information, assign the lead to the appropriate sales agent, and monitor follow-ups to ensure timely customer handling.</p><p>Key Responsibilities</p><p>Lead Management</p><p>• Monitor and receive all incoming leads through the company's designated central number and lead management system.</p><p>• Handle leads received from Property Finder, Bayut, Dubizzle, WhatsApp, website, social media, and other sources.</p><p>• Respond to new leads promptly through calls and WhatsApp.</p><p>• Maintain an organized record of all incoming leads. </p><p>Lead Qualification</p><p>• Contact customers to understand their exact property requirements.</p><p>• Collect and verify key information such as:</p><p>• Property type</p><p>• Buy / Rent requirement</p><p>• Location preference</p><p>• Number of bedrooms</p><p>• Budget</p><p>• Furnished / Unfurnished preference</p><p>• Ready / Off-plan requirement</p><p>• Move-in or purchase timeline</p><p>• Preferred property features</p><p>• Customer's preferred communication time </p><p>• Identify the customer's level of interest and urgency.</p><p>• Maintain accurate and complete lead information in the CRM/system. </p><p>Lead Distribution</p><p>• Assign qualified leads to the appropriate sales agent based on property requirement, location, availability, specialization, and internal allocation rules.</p><p>• Forward the agent a clear summary of the customer's requirement along with the lead contact details.</p><p>• Ensure that no qualified lead remains unattended or unassigned.</p><p>• Maintain proper records of which agent received each lead and when. </p><p>Follow-Up &amp; Monitoring</p><p>• Monitor whether the assigned agent has contacted the customer within the required response time.</p><p>• Follow up with agents regarding pending or unattended leads.</p><p>• Maintain regular follow-up records and update lead status.</p><p>• Reassign leads when required according to company policy.</p><p>• Follow up with customers where necessary to check whether their requirement has been addressed.</p><p>• Escalate delayed, missed, or poorly handled leads to the concerned manager. </p><p>Reporting &amp; CRM Management</p><p>• Keep CRM/lead management records updated at all times.</p><p>• Prepare daily and weekly reports covering:</p><p>• Total leads received</p><p>• Leads qualified</p><p>• Leads assigned</p><p>• Agent-wise lead distribution</p><p>• Contacted / Not Contacted leads</p><p>• Follow-up leads</p><p>• Viewing appointments</p><p>• Converted leads</p><p>• Lost / Unqualified leads </p><p>• Track lead response time and follow-up performance.</p><p>• Maintain accurate source-wise and agent-wise lead records. </p><p>Required Skills &amp; Qualifications</p><p>• Minimum 1–2 years of experience in lead management, customer service, telesales, real estate, or a similar role.</p><p>• Experience in Dubai real estate will be an advantage.</p><p>• Excellent verbal and written communication skills.</p><p>• Good telephone and WhatsApp communication skills.</p><p>• Strong customer-handling and questioning skills.</p>

Role: Senior AI Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking an AI Benchmark Engineer — Software Engineering to work on a full-time basis. The role involves designing and building high-quality multi-agent benchmark tasks grounded in real-world open-source code changes such as bug fixes, migrations, and refactors. You will evaluate how effectively AI agents understand large codebases, apply precise modifications, and produce correct, testable outputs.<br>Key Responsibilities:• Design and build multi-agent benchmark tasks based on real-world open-source code changes, including bug fixes, migrations, and refactors.• Work within the Harbor evaluation framework to run and validate tasks inside Docker environments.• Write clear, precise task instructions specifying file paths, function signatures, expected behavior, and constraints.• Develop Python-based verification scripts to validate correctness of agent-generated code changes.• Decompose complex engineering problems across multiple specialized agents and refine tasks within containerized environments.<br>Required Skills & Qualifications:• 5+ years of experience in Python and Java Script development.• Experience with AI coding benchmarks such as SWE-bench or Terminal-bench.• Strong ability to read and navigate large open-source codebases, including frameworks like Django, Flask, Fast API, or Node.js.• Familiarity with Git workflows, including pull requests, diffs, cherry-picking, and working with specific commits.• Experience with Docker, including writing Dockerfiles and managing builds.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement of AI systems that solve mission-critical priorities. The work directly supports the evaluation of cutting-edge AI agents in real-world software engineering scenarios.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Senior AI Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking an AI Benchmark Engineer — Software Engineering to work on a full-time basis. The role involves designing and building high-quality multi-agent benchmark tasks grounded in real-world open-source code changes such as bug fixes, migrations, and refactors. You will evaluate how effectively AI agents understand large codebases, apply precise modifications, and produce correct, testable outputs.<br>Key Responsibilities:• Design and build multi-agent benchmark tasks based on real-world open-source code changes, including bug fixes, migrations, and refactors.• Work within the Harbor evaluation framework to run and validate tasks inside Docker environments.• Write clear, precise task instructions specifying file paths, function signatures, expected behavior, and constraints.• Develop Python-based verification scripts to validate correctness of agent-generated code changes.• Decompose complex engineering problems across multiple specialized agents and refine tasks within containerized environments.<br>Required Skills & Qualifications:• 5+ years of experience in Python and Java Script development.• Experience with AI coding benchmarks such as SWE-bench or Terminal-bench.• Strong ability to read and navigate large open-source codebases, including frameworks like Django, Flask, Fast API, or Node.js.• Familiarity with Git workflows, including pull requests, diffs, cherry-picking, and working with specific commits.• Experience with Docker, including writing Dockerfiles and managing builds.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement of AI systems that solve mission-critical priorities. The work directly supports the evaluation of cutting-edge AI agents in real-world software engineering scenarios.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Senior AI Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking an AI Benchmark Engineer — Software Engineering to work on a full-time basis. The role involves designing and building high-quality multi-agent benchmark tasks grounded in real-world open-source code changes such as bug fixes, migrations, and refactors. You will evaluate how effectively AI agents understand large codebases, apply precise modifications, and produce correct, testable outputs.<br>Key Responsibilities:• Design and build multi-agent benchmark tasks based on real-world open-source code changes, including bug fixes, migrations, and refactors.• Work within the Harbor evaluation framework to run and validate tasks inside Docker environments.• Write clear, precise task instructions specifying file paths, function signatures, expected behavior, and constraints.• Develop Python-based verification scripts to validate correctness of agent-generated code changes.• Decompose complex engineering problems across multiple specialized agents and refine tasks within containerized environments.<br>Required Skills & Qualifications:• 5+ years of experience in Python and Java Script development.• Experience with AI coding benchmarks such as SWE-bench or Terminal-bench.• Strong ability to read and navigate large open-source codebases, including frameworks like Django, Flask, Fast API, or Node.js.• Familiarity with Git workflows, including pull requests, diffs, cherry-picking, and working with specific commits.• Experience with Docker, including writing Dockerfiles and managing builds.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement of AI systems that solve mission-critical priorities. The work directly supports the evaluation of cutting-edge AI agents in real-world software engineering scenarios.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Senior AI Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking an AI Benchmark Engineer — Software Engineering to work on a full-time basis. The role involves designing and building high-quality multi-agent benchmark tasks grounded in real-world open-source code changes such as bug fixes, migrations, and refactors. You will evaluate how effectively AI agents understand large codebases, apply precise modifications, and produce correct, testable outputs.<br>Key Responsibilities:• Design and build multi-agent benchmark tasks based on real-world open-source code changes, including bug fixes, migrations, and refactors.• Work within the Harbor evaluation framework to run and validate tasks inside Docker environments.• Write clear, precise task instructions specifying file paths, function signatures, expected behavior, and constraints.• Develop Python-based verification scripts to validate correctness of agent-generated code changes.• Decompose complex engineering problems across multiple specialized agents and refine tasks within containerized environments.<br>Required Skills & Qualifications:• 5+ years of experience in Python and Java Script development.• Experience with AI coding benchmarks such as SWE-bench or Terminal-bench.• Strong ability to read and navigate large open-source codebases, including frameworks like Django, Flask, Fast API, or Node.js.• Familiarity with Git workflows, including pull requests, diffs, cherry-picking, and working with specific commits.• Experience with Docker, including writing Dockerfiles and managing builds.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement of AI systems that solve mission-critical priorities. The work directly supports the evaluation of cutting-edge AI agents in real-world software engineering scenarios.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Overview:</b> <br><p>Analog is pioneering the era of physical intelligence. Where digital intelligence transformed our online lives, Analog is transforming the lived world, making cities more adaptive, industries more resilient, services more human centered, and experiences more extraordinary.<br>At the heart of our approach are living world models, continuously updated, enriched by every capture point, every device, every interaction. Within them resides Ana, the Analog Neural Agent. Ana perceives, adapts, and guides, transforming raw data into foresight and orchestration that improves outcomes across sectors, from safeguarding high-value assets to enhancing human performance.<br>We are seeking a highly skilled and experienced 3D Art Generalist to join our team. The ideal candidate will be a talented individual contributor artist, specializing in one or more of the 3D art sub-disciplines such as environment, character, modeling, rigging, animation, tech art, and more. Experience shipping 3D AAA games or AR/VR experiences is required.</p><br><br><br><p>As a 3D Art Generalist, you will be responsible for creating high-quality 3D art assets and driving the development of innovative solutions in the field of 3D art. You will work closely with cross-functional teams to identify and solve complex technical challenges and drive the development of cutting-edge solutions</p><br><br><b>Responsibilities:</b> <br><ul><li><span>Create high-quality, realism-driven 3D assets that meet visual, technical, and performance requirements</span> </li><li><span>Specialize in one or more of the 3D art sub-disciplines, such as environment, character, modeling, rigging, animation, tech art, and more. </span></li><li><span>Work with cross-functional teams to identify and solve complex technical challenges. </span> </li><li><span>Collaborate with team members to design and implement solutions to meet business and technical requirements. </span></li><li><span>Understand and apply best practices in 3D art and design, including user-centered design principles. </span></li><li><span>Maintain and improve existing 3D art systems and assets.</span></li></ul><br><b>Qualifications:</b> <br><ul><li><span>Bachelor's degree in Art, Design, or a related field </span></li><li><span>5+ years of industry experience in 3D art and design </span></li><li><span>Strong portfolio of 3D art and design work</span></li><li><span>Demonstrated experience working in a realistic / realism-based art style, with high-quality examples showcased in portfolio</span></li><li><span>Experience shipping 3D AAA games or AR/VR experiences </span></li><li><span>Proficiency in 3D art and design software, including Maya, 3DS Max, and Blender </span></li><li><span>Strong problem-solving skills and ability to work independently as well as in a team environment. </span></li><li><span>Excellent communication and collaboration skills </span> <br> </li></ul><br><p><span>What Working At Analog Offers</span> <br></p><br><br><ul><li><span>Culture: A collaborative, globally minded team building the future of physical intelligence. We value curiosity, courage, and creativity, and we’re united by a belief that technology should amplify human potential rather than replace it.</span></li><li><span>Impact: The opportunity to work on projects with national and global significance, from adaptive cities and resilient infrastructure to next generation sports, entertainment, healthcare, and energy. Every product you help build contributes to shaping a safer, smarter, more human centered world.</span></li><li><span>Growth: Outstanding opportunities for learning and career development. You’ll collaborate with leaders across AI, robotics, mixed reality, and systems engineering, while working on industry first, frontier scale solutions.</span></li><li><span>Rewards: A competitive compensation package with healthcare, education support, and generous leave benefits, reflecting the high value we place on our people and their families.</span></li></ul><br><br><br> </div>

<ul><li><p>AI & ML Engineering</p><ul><li><p>Develop, deploy, and optimize machine learning and deep learning models.</p></li><li><p>Build AI solutions for NLP, computer vision, predictive analytics, and intelligent automation.</p></li><li><p>Integrate AI services into enterprise applications and internal platforms.</p></li></ul><p>Generative AI</p><ul><li><p>Develop LLM-based applications, AI copilots, and RAG solutions.</p></li><li><p>Implement prompt engineering, model evaluation, embeddings, and semantic search.</p></li><li><p>Optimize model performance, scalability, and cost.</p></li></ul><p>Agentic AI</p><ul><li><p>Design and deploy autonomous and multi-agent AI systems.</p></li><li><p>Develop agent orchestration, planning, reasoning, memory, and tool integration.</p></li><li><p>Implement human-in-the-loop approvals and enterprise workflow automation.</p></li></ul><p>AI Operations (MLOps / LLMOps / AgentOps)</p><ul><li><p>Build CI/CD pipelines for AI models and agents.</p></li><li><p>Monitor AI systems for performance, drift, hallucinations, security, and reliability.</p></li><li><p>Manage model versioning, deployment, observability, and lifecycle operations.</p></li></ul><p>AI Governance & Responsible AI</p><ul><li><p>Implement AI governance, model risk management, and Responsible AI practices.</p></li><li><p>Maintain model documentation, validation, audit readiness, and compliance.</p></li><li><p>Ensure fairness, traceability, maintainability, privacy, and regulatory adherence.</p></li></ul><p>Agent Governance & Security</p><ul><li><p>Govern AI agent lifecycle, identity, access, and runtime controls.</p></li><li><p>Implement guardrails, audit logging, and secure integration with enterprise systems.</p></li><li><p>Protect AI solutions against prompt injection, data leakage, and adversarial attacks.</p></li></ul><p>Collaboration</p><ul><li><p>Work with business, engineering, security, and architecture teams to deliver AI solutions.</p></li><li><p>Mentor team members and promote AI engineering standards and best practice</p></li></ul><p><strong>Technical Skills</strong></p><p>AI & Machine Learning</p><ul><li><p>Machine Learning, Deep Learning, NLP, Computer Vision</p></li><li><p>Predictive Analytics, Feature Engineering, Model Optimization</p></li></ul><p>Generative AI</p><ul><li><p>Large Language Models (LLMs)</p></li><li><p>Retrieval-Augmented Generation (RAG)</p></li><li><p>Prompt Engineering</p></li><li><p>Embeddings and Semantic Search</p></li><li><p>Fine-tuning Foundation Models</p></li></ul><p>Agentic AI</p><ul><li><p>Autonomous and Multi-Agent Systems</p></li><li><p>Agent Orchestration</p></li><li><p>Planning and Reasoning</p></li><li><p>Memory Management</p></li><li><p>Tool Calling</p></li><li><p>Human-in-the-Loop (HITL)</p></li><li><p>Model Context Protocol (MCP)</p></li></ul><p>Frameworks & Libraries</p><ul><li><p>PyTorch</p></li><li><p>TensorFlow</p></li><li><p>Scikit-learn</p></li><li><p>Hugging Face</p></li><li><p>LangChain</p></li><li><p>LangGraph</p></li><li><p>LlamaIndex</p></li><li><p>AutoGen</p></li><li><p>CrewAI</p></li><li><p>Semantic Kernel</p></li></ul><p>Cloud & Infrastructure</p><ul><li><p>Microsoft Azure AI Foundry</p></li><li><p>Azure Machine Learning</p></li><li><p>AWS Bedrock</p></li><li><p>Amazon SageMaker</p></li><li><p>Google Vertex AI</p></li><li><p>Docker</p></li><li><p>Kubernetes</p></li><li><p>Terraform</p></li></ul><p>Data & Integration</p><ul><li><p>SQL</p></li><li><p>PostgreSQL</p></li><li><p>MongoDB</p></li><li><p>Apache Spark</p></li><li><p>Vector Databases</p></li><li><p>REST APIs</p></li><li><p>FastAPI</p></li></ul><p>AI Operations</p><ul><li><p>MLflow</p></li><li><p>Kubeflow</p></li><li><p>Azure ML Pipelines</p></li><li><p>GitHub Actions</p></li><li><p>Azure DevOps</p></li></ul><p>AI Monitoring & Observability</p><br></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Work Experience</p><p>Minimum:</p><ul><li><p>Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.</p></li><li><p>5+ years of software or AI/ML engineering experience.</p></li><li><p>3+ years building and operating production AI solutions.</p></li><li><p>Strong Python programming and software engineering skills.</p></li><li><p>Experience with enterprise AI governance, cloud platforms, and secure AI development.</p></li></ul></li></ul><br><p>Skills Python Machine Learning Deep Learning</p>

Company Description Profound Realtors is a real estate firm dedicated to delivering thoughtful, insight-driven property solutions tailored to clients’ personal and professional needs. The team focuses on building strong investment portfolios while ensuring a smooth, hassle-free experience throughout the buying, selling, or leasing process. Guided by a commitment to deep market knowledge and client understanding, Profound Realtors provides first-rate real estate services across diverse property types. The company values integrity, informed guidance, and long-term client relationships, creating an environment where real estate professionals can grow and excel. Role Description The Telesales Specialist is a full-time, on-site role based in Dubai, responsible for driving real estate sales through outbound and inbound calls. This role involves identifying potential clients, presenting property options, explaining key features and benefits, and following up to convert leads into successful transactions. The specialist will manage CRM records, qualify leads, schedule property viewings with the field team, and coordinate with agents to support closing processes. Daily tasks include responding to inquiries, handling basic customer support issues, providing clear information about pricing and availability, and maintaining strong call productivity and target achievement. The role also includes collaborating with the sales team, sharing market feedback, and participating in ongoing training to improve product knowledge and telesales techniques. Qualifications Candidates should possess strong Customer Service and Customer Support skills to handle inquiries, resolve issues, and maintain a positive client experience. Candidates should possess excellent Communication skills, including clear verbal communication, active listening, and professional telephone etiquette. Candidates should possess solid Sales skills, including lead qualification, persuasion, negotiation, and closing techniques. Candidates should possess Training-related capabilities, such as willingness to learn, apply coaching feedback, and support knowledge sharing within the team. Previous telesales or inside sales experience, ideally in real estate or a related sector, is highly beneficial. Familiarity with CRM systems and basic MS Office tools is an advantage. Ability to work in an on-site, target-driven environment in Dubai and manage high call volumes efficiently. High school diploma or equivalent required; a bachelor’s degree in business, marketing, or a related field is a plus.

Company Description Profound Realtors is a real estate firm dedicated to delivering thoughtful, insight-driven property solutions tailored to clients’ personal and professional needs. The team focuses on building strong investment portfolios while ensuring a smooth, hassle-free experience throughout the buying, selling, or leasing process. Guided by a commitment to deep market knowledge and client understanding, Profound Realtors provides first-rate real estate services across diverse property types. The company values integrity, informed guidance, and long-term client relationships, creating an environment where real estate professionals can grow and excel. Role Description The Telesales Specialist is a full-time, on-site role based in Dubai, responsible for driving real estate sales through outbound and inbound calls. This role involves identifying potential clients, presenting property options, explaining key features and benefits, and following up to convert leads into successful transactions. The specialist will manage CRM records, qualify leads, schedule property viewings with the field team, and coordinate with agents to support closing processes. Daily tasks include responding to inquiries, handling basic customer support issues, providing clear information about pricing and availability, and maintaining strong call productivity and target achievement. The role also includes collaborating with the sales team, sharing market feedback, and participating in ongoing training to improve product knowledge and telesales techniques. Qualifications Candidates should possess strong Customer Service and Customer Support skills to handle inquiries, resolve issues, and maintain a positive client experience. Candidates should possess excellent Communication skills, including clear verbal communication, active listening, and professional telephone etiquette. Candidates should possess solid Sales skills, including lead qualification, persuasion, negotiation, and closing techniques. Candidates should possess Training-related capabilities, such as willingness to learn, apply coaching feedback, and support knowledge sharing within the team. Previous telesales or inside sales experience, ideally in real estate or a related sector, is highly beneficial. Familiarity with CRM systems and basic MS Office tools is an advantage. Ability to work in an on-site, target-driven environment in Dubai and manage high call volumes efficiently. High school diploma or equivalent required; a bachelor’s degree in business, marketing, or a related field is a plus.

Position: Senior AI Engineer Compensation: Offering a competitive salary plus family benefits & variable Location: Dubai or Abu Dhabi <br>Overview<br>Gateworth Group is currently assisting a Technology Consultancy in the UAE looking hire Senior AI Engineers for either its Dubai or Abu Dhabi branch. The client is looking to hire the top AI Engineers and will consider candidates who are looking to relocate. Our client has multiple vacancies and is working on some very interesting projects, looking to innovate across multiple sectors. This AI Engineer will assist with building advanced AI systems that sit at the intersection of research, engineering, and real‑world problem‑solving. This role is for someone who thrives in highly technical environments and can design, experiment, and deploy sophisticated LLM‑driven architectures. You’ll work across model development, multi‑agent system design, retrieval pipelines, and multimodal applications, contributing to platforms that support both operational and investment‑focused use cases. This is a hands‑on role for a scientist who understands modern AI from first principles and can translate cutting‑edge methods into production‑ready systems.<br><br>Main Responsibilities<br>• Architect and implement advanced LLM‑powered systems, including multi‑agent frameworks, retrieval‑enhanced pipelines, and multimodal models.• Lead end‑to‑end development of AI initiatives, from data preparation and model training to evaluation, optimisation, and deployment.• Conduct deep research into emerging AI techniques, staying ahead of developments in model architectures, training strategies, and agent‑based systems.• Build and refine prompt, tool‑use, and orchestration strategies to maximise model reliability and performance.• Collaborate with product, engineering, and domain specialists to design AI solutions tailored to complex operational and investment workflows.• Analyse system behaviour, identify performance bottlenecks, and drive continuous improvement across models, agents, and pipelines.• Contribute to internal research, experimentation, and benchmarking efforts to establish best‑in‑class AI practices.<br>Qualifications<br>• Extensive experience developing, fine‑tuning, and deploying LLMs for advanced, high‑impact applications.• Strong understanding of core AI building blocks: model internals, training dynamics, optimisation methods, data pipelines, and evaluation frameworks.• Proven ability to design and implement multi‑agent systems, including planning loops, tool‑use orchestration, memory systems, and agent collaboration.• Proficiency with modern AI frameworks such as PyTorch, Tensor Flow, JAX, and Hugging Face Transformers.• Experience with retrieval systems, vector databases, and domain‑specific RAG architectures.• Background in multimodal model development (text, vision, audio, structured data).• Track record of delivering complex AI projects, ideally with contributions to research, open‑source work, or competitive benchmarks.• Strong communication skills and the ability to work effectively with cross‑functional teams in fast‑moving environments.• Advanced academic background (Master’s or PhD) in Computer Science, Machine Learning, or a related field is preferred.<br><br>Apply<br>Applicants meeting this criterion and looking for a progressive and challenging opportunity should submit an application via the apply link. If you have any further questions, you can reach out to apply@gateworth.com, quoting the GWG reference - #3654

Position: Senior AI Engineer Compensation: Offering a competitive salary plus family benefits & variable Location: Dubai or Abu Dhabi <br>Overview<br>Gateworth Group is currently assisting a Technology Consultancy in the UAE looking hire Senior AI Engineers for either its Dubai or Abu Dhabi branch. The client is looking to hire the top AI Engineers and will consider candidates who are looking to relocate. Our client has multiple vacancies and is working on some very interesting projects, looking to innovate across multiple sectors. This AI Engineer will assist with building advanced AI systems that sit at the intersection of research, engineering, and real‑world problem‑solving. This role is for someone who thrives in highly technical environments and can design, experiment, and deploy sophisticated LLM‑driven architectures. You’ll work across model development, multi‑agent system design, retrieval pipelines, and multimodal applications, contributing to platforms that support both operational and investment‑focused use cases. This is a hands‑on role for a scientist who understands modern AI from first principles and can translate cutting‑edge methods into production‑ready systems.<br><br>Main Responsibilities<br>• Architect and implement advanced LLM‑powered systems, including multi‑agent frameworks, retrieval‑enhanced pipelines, and multimodal models.• Lead end‑to‑end development of AI initiatives, from data preparation and model training to evaluation, optimisation, and deployment.• Conduct deep research into emerging AI techniques, staying ahead of developments in model architectures, training strategies, and agent‑based systems.• Build and refine prompt, tool‑use, and orchestration strategies to maximise model reliability and performance.• Collaborate with product, engineering, and domain specialists to design AI solutions tailored to complex operational and investment workflows.• Analyse system behaviour, identify performance bottlenecks, and drive continuous improvement across models, agents, and pipelines.• Contribute to internal research, experimentation, and benchmarking efforts to establish best‑in‑class AI practices.<br>Qualifications<br>• Extensive experience developing, fine‑tuning, and deploying LLMs for advanced, high‑impact applications.• Strong understanding of core AI building blocks: model internals, training dynamics, optimisation methods, data pipelines, and evaluation frameworks.• Proven ability to design and implement multi‑agent systems, including planning loops, tool‑use orchestration, memory systems, and agent collaboration.• Proficiency with modern AI frameworks such as PyTorch, Tensor Flow, JAX, and Hugging Face Transformers.• Experience with retrieval systems, vector databases, and domain‑specific RAG architectures.• Background in multimodal model development (text, vision, audio, structured data).• Track record of delivering complex AI projects, ideally with contributions to research, open‑source work, or competitive benchmarks.• Strong communication skills and the ability to work effectively with cross‑functional teams in fast‑moving environments.• Advanced academic background (Master’s or PhD) in Computer Science, Machine Learning, or a related field is preferred.<br><br>Apply<br>Applicants meeting this criterion and looking for a progressive and challenging opportunity should submit an application via the apply link. If you have any further questions, you can reach out to apply@gateworth.com, quoting the GWG reference - #3654

You have set a clear academic vision in the past and taken full ownership of the results. You have led visibly and directly, not from behind closed doors. When it comes to learning science, you are not experimenting—you have built proven systems, delivered measurable results, and earned credibility to present that work publicly. If this describes your experience, 2 Hour Learning is seeking its chief academic strategist.<br><br>At 2 Hour Learning, we have developed a model that enables students to learn at twice the speed in only two hours each day. This is achieved through AI tutors, mastery-based progression, and a fundamental shift away from traditional classroom design. The outcomes speak for themselves. We now need a leader who can align execution across varied school environments, elevate academic leadership standards, and serve as the public advocate for a movement rooted in credible learning science.<br><br>This role is not centered on academic theory. It is a leadership imperative. You will take ownership of academic strategy in execution, establish rigorous standards, surface gaps in performance, and develop high-performing teams to produce tangible results. You will convert our scientific principles into operational rigor and champion this model on a global stage.<br><br>What You Will Be Doing<br><br>Developing academic frameworks that convert learning science into actionable direction for curriculum design, motivational systems, and app functionality. Conducting academic execution reviews with Heads of Academics to confirm that school teams remain aligned, accountable, and results-driven. Integrating data, stakeholder interviews, and direct observation into comprehensive academic ecosystem assessments that identify the most impactful obstacles to accelerated learning and recommend concrete interventions. Ensuring strategic coherence through structured planning, continuous feedback, and milestone management to sustain focus on student learning objectives. Serving as the external representative of 2 Hour Learning in high-profile settings—from keynote presentations to engagements with Ministries of Education—to influence global perspectives on education systems.<br><br>What You Won’t Be Doing<br><br>Working on isolated curriculum initiatives that fail to produce systemic impact. Producing theoretical research disconnected from student outcomes or implementation. Passing performance accountability to mid-level managers or external advisors. Depending on reputation or abstract theory to win over critical audiences.<br><br>Director Of Academic Excellence Key Responsibilities<br><br>Expand and strengthen 2 Hour Learning's validated academic model by aligning execution across school sites, raising leadership expectations, and embodying the public voice of a movement built on rigorous science and demonstrated outcomes.<br><br>Basic Requirements<br><br>Advanced degree (Masters or Ph. D) in Learning Science, Educational Psychology, Instructional Design, or a related field At least 7 years in academic or EdTech leadership roles, leading a team of staff/employees (not an informal peer leader role, such as grade-level lead); you must have been responsible for hiring, monitoring performance, coaching, and making termination decisions Experience driving learning outcomes for students and upholding student performance standards Experience applying AI or emerging technologies to improve education, such as through personalized learning, adaptive learning, AI agents, etc. Experience managing academic teams of 50+ people (e.g., the teams you managed directly executed curriculum, instruction, or assessment) Experience interacting directly with students, teachers, or school leaders in a professional setting<br><br>About 2 Hour Learning<br><br>Education is broken, but 2 Hour Learning is proving it doesn’t have to be. They’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.<br><br>With students consistently ranking in the top 1-2% nationally and the top 20% achieving an astonishing 6.5x growth, they’re proving that smarter learning is possible. At 2 Hour Learning, it’s talent and performance that matter. <br><br>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.<br><br>2 Hour Learning is reprogramming learning for the AI era.<br><br>Here’s How They’re Fixing It.<br><br>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!<br><br>Working with us<br><br>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 $200 USD/hour, which equates to $400,000 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.<br><br>Crossover Job Code: LJ-5595-AE-COUNTRY-Directorof Acad.017

You've shaped an ambitious academic vision and taken full ownership of its results. You've led decisively, from the forefront rather than behind the curtain. When it comes to the science of learning, you're no novice—you've created something tangible, delivered measurable outcomes that validate your approach, and earned the credibility to share that story publicly. If this describes your track record, 2 Hour Learning is seeking its defining academic leader.<br><br>At 2 Hour Learning, we've developed a system in which students achieve twice the learning velocity in only two hours per day. This performance is powered by AI-driven tutoring, mastery-based progression, and a fundamental reimagining of traditional classroom design. The impact is measurable and significant. We now need a leader capable of aligning execution across varied school environments, elevating academic leadership standards, and serving as the authoritative voice for a movement anchored in rigorous learning science.<br><br>This is not a theoretical academic position. It is a leadership imperative. You will direct the academic strategy in practice, establish unambiguous standards, surface execution shortfalls, and mentor high-performing teams to achieve concrete results. You will transform our scientific underpinnings into operational rigor and champion this model to a global audience.<br><br>What You Will Be Doing<br><br>Designing academic frameworks that convert learning science principles into actionable direction for curriculum development, motivation architecture, and application design. Conducting academic execution reviews with Heads of Academics to ensure school teams maintain alignment, accountability, and outcome delivery. Integrating data analysis, stakeholder interviews, and direct observation into comprehensive academic ecosystem assessments that identify the most impactful obstacles to accelerated learning and recommend concrete interventions. Ensuring strategic alignment via planning cycles, feedback mechanisms, and milestone monitoring to sustain focus on student learning objectives. Serving as the principal representative of 2 Hour Learning in high-profile settings, including keynote presentations and engagements with Ministries of Education, to advance systemic transformation in global education paradigms.<br><br>What You Won’t Be Doing<br><br>Engaging in narrow curriculum initiatives that fail to produce systemic impact. Producing theoretical research disconnected from student outcomes or operational implementation. Transferring performance accountability to mid-level managers or external advisors. Depending on institutional reputation or untested theory to convince critical stakeholders.<br><br>Director Of Academic Excellence Key Responsibilities<br><br>Expand and strengthen 2 Hour Learning's validated academic model by aligning execution across school sites, raising leadership performance standards, and establishing yourself as the authoritative public voice of a movement rooted in evidence-based science and demonstrated outcomes.<br><br>Basic Requirements<br><br>Advanced degree (Masters or Ph. D) in Learning Science, Educational Psychology, Instructional Design, or a related field At least 7 years in academic or EdTech leadership roles, leading a team of staff/employees (not an informal peer leader role, such as grade-level lead); you must have been responsible for hiring, monitoring performance, coaching, and making termination decisions Experience driving learning outcomes for students and upholding student performance standards Experience applying AI or emerging technologies to improve education, such as through personalized learning, adaptive learning, AI agents, etc. Experience managing academic teams of 50+ people (e.g., the teams you managed directly executed curriculum, instruction, or assessment) Experience interacting directly with students, teachers, or school leaders in a professional setting<br><br>About 2 Hour Learning<br><br>Education is broken, but 2 Hour Learning is proving it doesn’t have to be. They’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.<br><br>With students consistently ranking in the top 1-2% nationally and the top 20% achieving an astonishing 6.5x growth, they’re proving that smarter learning is possible. At 2 Hour Learning, it’s talent and performance that matter. <br><br>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.<br><br>2 Hour Learning is reprogramming learning for the AI era.<br><br>Here’s How They’re Fixing It.<br><br>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!<br><br>Working with us<br><br>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 $200 USD/hour, which equates to $400,000 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.<br><br>Crossover Job Code: LJ-5595-AE-Dubai-Directorof Acad.035

You've shaped an ambitious academic vision and taken full ownership of its results. You've led decisively, from the forefront rather than behind the curtain. When it comes to the science of learning, you're no novice—you've created something tangible, delivered measurable outcomes that validate your approach, and earned the credibility to share that story publicly. If this describes your track record, 2 Hour Learning is seeking its defining academic leader.<br><br>At 2 Hour Learning, we've developed a system in which students achieve twice the learning velocity in only two hours per day. This performance is powered by AI-driven tutoring, mastery-based progression, and a fundamental reimagining of traditional classroom design. The impact is measurable and significant. We now need a leader capable of aligning execution across varied school environments, elevating academic leadership standards, and serving as the authoritative voice for a movement anchored in rigorous learning science.<br><br>This is not a theoretical academic position. It is a leadership imperative. You will direct the academic strategy in practice, establish unambiguous standards, surface execution shortfalls, and mentor high-performing teams to achieve concrete results. You will transform our scientific underpinnings into operational rigor and champion this model to a global audience.<br><br>What You Will Be Doing<br><br>Designing academic frameworks that convert learning science principles into actionable direction for curriculum development, motivation architecture, and application design. Conducting academic execution reviews with Heads of Academics to ensure school teams maintain alignment, accountability, and outcome delivery. Integrating data analysis, stakeholder interviews, and direct observation into comprehensive academic ecosystem assessments that identify the most impactful obstacles to accelerated learning and recommend concrete interventions. Ensuring strategic alignment via planning cycles, feedback mechanisms, and milestone monitoring to sustain focus on student learning objectives. Serving as the principal representative of 2 Hour Learning in high-profile settings, including keynote presentations and engagements with Ministries of Education, to advance systemic transformation in global education paradigms.<br><br>What You Won’t Be Doing<br><br>Engaging in narrow curriculum initiatives that fail to produce systemic impact. Producing theoretical research disconnected from student outcomes or operational implementation. Transferring performance accountability to mid-level managers or external advisors. Depending on institutional reputation or untested theory to convince critical stakeholders.<br><br>Director Of Academic Excellence Key Responsibilities<br><br>Expand and strengthen 2 Hour Learning's validated academic model by aligning execution across school sites, raising leadership performance standards, and establishing yourself as the authoritative public voice of a movement rooted in evidence-based science and demonstrated outcomes.<br><br>Basic Requirements<br><br>Advanced degree (Masters or Ph. D) in Learning Science, Educational Psychology, Instructional Design, or a related field At least 7 years in academic or EdTech leadership roles, leading a team of staff/employees (not an informal peer leader role, such as grade-level lead); you must have been responsible for hiring, monitoring performance, coaching, and making termination decisions Experience driving learning outcomes for students and upholding student performance standards Experience applying AI or emerging technologies to improve education, such as through personalized learning, adaptive learning, AI agents, etc. Experience managing academic teams of 50+ people (e.g., the teams you managed directly executed curriculum, instruction, or assessment) Experience interacting directly with students, teachers, or school leaders in a professional setting<br><br>About 2 Hour Learning<br><br>Education is broken, but 2 Hour Learning is proving it doesn’t have to be. They’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.<br><br>With students consistently ranking in the top 1-2% nationally and the top 20% achieving an astonishing 6.5x growth, they’re proving that smarter learning is possible. At 2 Hour Learning, it’s talent and performance that matter. <br><br>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.<br><br>2 Hour Learning is reprogramming learning for the AI era.<br><br>Here’s How They’re Fixing It.<br><br>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!<br><br>Working with us<br><br>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 $200 USD/hour, which equates to $400,000 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.<br><br>Crossover Job Code: LJ-5595-AE-Dubai-Directorof Acad.035

You've shaped an ambitious academic vision and taken full ownership of its results. You've led decisively, from the forefront rather than behind the curtain. When it comes to the science of learning, you're no novice—you've created something tangible, delivered measurable outcomes that validate your approach, and earned the credibility to share that story publicly. If this describes your track record, 2 Hour Learning is seeking its defining academic leader.<br><br>At 2 Hour Learning, we've developed a system in which students achieve twice the learning velocity in only two hours per day. This performance is powered by AI-driven tutoring, mastery-based progression, and a fundamental reimagining of traditional classroom design. The impact is measurable and significant. We now need a leader capable of aligning execution across varied school environments, elevating academic leadership standards, and serving as the authoritative voice for a movement anchored in rigorous learning science.<br><br>This is not a theoretical academic position. It is a leadership imperative. You will direct the academic strategy in practice, establish unambiguous standards, surface execution shortfalls, and mentor high-performing teams to achieve concrete results. You will transform our scientific underpinnings into operational rigor and champion this model to a global audience.<br><br>What You Will Be Doing<br><br>Designing academic frameworks that convert learning science principles into actionable direction for curriculum development, motivation architecture, and application design. Conducting academic execution reviews with Heads of Academics to ensure school teams maintain alignment, accountability, and outcome delivery. Integrating data analysis, stakeholder interviews, and direct observation into comprehensive academic ecosystem assessments that identify the most impactful obstacles to accelerated learning and recommend concrete interventions. Ensuring strategic alignment via planning cycles, feedback mechanisms, and milestone monitoring to sustain focus on student learning objectives. Serving as the principal representative of 2 Hour Learning in high-profile settings, including keynote presentations and engagements with Ministries of Education, to advance systemic transformation in global education paradigms.<br><br>What You Won’t Be Doing<br><br>Engaging in narrow curriculum initiatives that fail to produce systemic impact. Producing theoretical research disconnected from student outcomes or operational implementation. Transferring performance accountability to mid-level managers or external advisors. Depending on institutional reputation or untested theory to convince critical stakeholders.<br><br>Director Of Academic Excellence Key Responsibilities<br><br>Expand and strengthen 2 Hour Learning's validated academic model by aligning execution across school sites, raising leadership performance standards, and establishing yourself as the authoritative public voice of a movement rooted in evidence-based science and demonstrated outcomes.<br><br>Basic Requirements<br><br>Advanced degree (Masters or Ph. D) in Learning Science, Educational Psychology, Instructional Design, or a related field At least 7 years in academic or EdTech leadership roles, leading a team of staff/employees (not an informal peer leader role, such as grade-level lead); you must have been responsible for hiring, monitoring performance, coaching, and making termination decisions Experience driving learning outcomes for students and upholding student performance standards Experience applying AI or emerging technologies to improve education, such as through personalized learning, adaptive learning, AI agents, etc. Experience managing academic teams of 50+ people (e.g., the teams you managed directly executed curriculum, instruction, or assessment) Experience interacting directly with students, teachers, or school leaders in a professional setting<br><br>About 2 Hour Learning<br><br>Education is broken, but 2 Hour Learning is proving it doesn’t have to be. They’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.<br><br>With students consistently ranking in the top 1-2% nationally and the top 20% achieving an astonishing 6.5x growth, they’re proving that smarter learning is possible. At 2 Hour Learning, it’s talent and performance that matter. <br><br>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.<br><br>2 Hour Learning is reprogramming learning for the AI era.<br><br>Here’s How They’re Fixing It.<br><br>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!<br><br>Working with us<br><br>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 $200 USD/hour, which equates to $400,000 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.<br><br>Crossover Job Code: LJ-5595-AE-Dubai-Directorof Acad.035