وظائف تسويق عقاري في الأردن

<p><h4>Description</h4> <p>Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem. RTG works with its local and international partners to help build digital customer experiences, establish engineering hubs and build ventures across multiple industries and domains. In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces and content focused on creating impact and growth across the different interactions.</p> <p>Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech consultancy group. With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market. Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.</p> <h4>Job overview</h4> <p>We are seeking a highly skilled and experienced Salesforce Marketing Cloud Senior (Next) professional to lead the design, implementation, optimization, and management of customer engagement and marketing automation solutions using Salesforce Marketing Cloud and Marketing Cloud Next capabilities. The ideal candidate will have deep expertise in omnichannel campaign execution, customer journey orchestration, data-driven marketing strategies, and advanced Salesforce ecosystem integrations. This role requires both strategic thinking and hands-on technical execution to deliver scalable and personalized customer experiences.</p> <h4>Role responsibilities</h4> <p><strong>Platform management & solution design</strong><br> Lead the implementation and optimization of Salesforce Marketing Cloud solutions, including Marketing Cloud Next functionalities. Design scalable marketing automation architectures aligned with business and customer engagement goals. Configure and manage core SFMC modules such as:</p> <ul> <li>Journey Builder</li> <li>Email Studio</li> <li>Automation Studio</li> <li>Mobile Studio</li> <li>Advertising Studio</li> <li>Data Cloud integrations</li> <li>Personalization and AI-driven capabilities</li> </ul> <p><strong>Campaign management</strong><br> Develop, execute, and optimize multi-channel marketing campaigns across email, SMS, push notifications, and digital channels. Build and maintain customer journeys with advanced segmentation and personalization strategies. Ensure campaign delivery accuracy, quality assurance, and performance tracking.</p> <p><strong>Data & integration</strong><br> Integrate Salesforce Marketing Cloud with CRM, CDP, APIs, and third-party platforms. Manage data extensions, SQL queries, automations, and audience segmentation. Support real-time data synchronization and customer lifecycle management.</p> <p><strong>Technical development</strong><br> Develop dynamic and personalized content using:</p> <ul> <li>AMPscript</li> <li>SSJS</li> <li>HTML/CSS</li> <li>SQL</li> </ul> <p>Build reusable templates, automation workflows, and scalable campaign frameworks. Troubleshoot platform issues and optimize system performance.</p> <p><strong>Analytics & optimization</strong><br> Monitor campaign KPIs and customer engagement metrics. Generate insights and recommendations to improve conversion, retention, and customer experience. Support A/B testing, reporting dashboards, and marketing performance analysis.</p> <p><strong>Leadership & collaboration</strong><br> Collaborate with marketing, CRM, sales, analytics, and technology teams. Mentor junior team members and provide SFMC best practice guidance. Participate in solution architecture discussions and stakeholder workshops.</p> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in Computer Science, Information Systems, Marketing, or related field.</li> <li>5+ years of hands-on experience with Salesforce Marketing Cloud.</li> <li>Strong experience with Marketing Cloud Next capabilities and modern customer engagement platforms.</li> <li>Proven expertise in: Journey Builder, Automation Studio, Email Studio, SQL, AMPscript, API integrations.</li> <li>Experience integrating SFMC with Salesforce CRM/Data Cloud/CDP solutions.</li> <li>Strong understanding of customer lifecycle marketing and omnichannel strategies.</li> <li>Excellent analytical, troubleshooting, and communication skills.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem. RTG works with its local and international partners to help build digital customer experiences, establish engineering hubs and build ventures across multiple industries and domains. In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces and content focused on creating impact and growth across the different interactions.</p> <p>Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech consultancy group. With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market. Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.</p> <h4>Job overview</h4> <p>We are seeking a highly skilled and experienced Salesforce Marketing Cloud Senior (Next) professional to lead the design, implementation, optimization, and management of customer engagement and marketing automation solutions using Salesforce Marketing Cloud and Marketing Cloud Next capabilities. The ideal candidate will have deep expertise in omnichannel campaign execution, customer journey orchestration, data-driven marketing strategies, and advanced Salesforce ecosystem integrations. This role requires both strategic thinking and hands-on technical execution to deliver scalable and personalized customer experiences.</p> <h4>Role responsibilities</h4> <p><strong>Platform management & solution design</strong><br> Lead the implementation and optimization of Salesforce Marketing Cloud solutions, including Marketing Cloud Next functionalities. Design scalable marketing automation architectures aligned with business and customer engagement goals. Configure and manage core SFMC modules such as:</p> <ul> <li>Journey Builder</li> <li>Email Studio</li> <li>Automation Studio</li> <li>Mobile Studio</li> <li>Advertising Studio</li> <li>Data Cloud integrations</li> <li>Personalization and AI-driven capabilities</li> </ul> <p><strong>Campaign management</strong><br> Develop, execute, and optimize multi-channel marketing campaigns across email, SMS, push notifications, and digital channels. Build and maintain customer journeys with advanced segmentation and personalization strategies. Ensure campaign delivery accuracy, quality assurance, and performance tracking.</p> <p><strong>Data & integration</strong><br> Integrate Salesforce Marketing Cloud with CRM, CDP, APIs, and third-party platforms. Manage data extensions, SQL queries, automations, and audience segmentation. Support real-time data synchronization and customer lifecycle management.</p> <p><strong>Technical development</strong><br> Develop dynamic and personalized content using:</p> <ul> <li>AMPscript</li> <li>SSJS</li> <li>HTML/CSS</li> <li>SQL</li> </ul> <p>Build reusable templates, automation workflows, and scalable campaign frameworks. Troubleshoot platform issues and optimize system performance.</p> <p><strong>Analytics & optimization</strong><br> Monitor campaign KPIs and customer engagement metrics. Generate insights and recommendations to improve conversion, retention, and customer experience. Support A/B testing, reporting dashboards, and marketing performance analysis.</p> <p><strong>Leadership & collaboration</strong><br> Collaborate with marketing, CRM, sales, analytics, and technology teams. Mentor junior team members and provide SFMC best practice guidance. Participate in solution architecture discussions and stakeholder workshops.</p> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in Computer Science, Information Systems, Marketing, or related field.</li> <li>5+ years of hands-on experience with Salesforce Marketing Cloud.</li> <li>Strong experience with Marketing Cloud Next capabilities and modern customer engagement platforms.</li> <li>Proven expertise in: Journey Builder, Automation Studio, Email Studio, SQL, AMPscript, API integrations.</li> <li>Experience integrating SFMC with Salesforce CRM/Data Cloud/CDP solutions.</li> <li>Strong understanding of customer lifecycle marketing and omnichannel strategies.</li> <li>Excellent analytical, troubleshooting, and communication skills.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Who are we?<br> We are a team of driven individuals who strongly believe in the positive impact gaming and AI will have on the learning world.<br> Today, we’re helping enterprise businesses transition from video to gamified learning experiences that far outperform their traditional counterparts.<br> If you strive to work in a creative and high-output environment, read on.<br> Who are we looking for?<br> A senior data engineer to own Pixaera's data end to end: the pipelines that bring data in, the warehouse and transformations that shape it, and the customer-facing dashboards and insights we build on top.<br> Our customers judge the value of their training by what they can see, so this role owns that surface directly.<br> Today the stack is Fivetran into Snowflake, transformed with dbt and surfaced through Omni.<br> You will take real ownership of it, fix what is brittle, and turn it into a genuine product surface rather than a side project.<br> You are happy working across the backend to solve data problems at their source, and you can explain a trade-off to a customer success lead as clearly as to an engineer.<br> What you will own Customer-facing dashboards and reporting: the activity, completion and performance views customers rely on, built on the current data model (courses and completions, not legacy sessions) and kept correct as new content ships.<br> The data platform end to end: ingestion (Fivetran), the warehouse and data lake (Snowflake) and the transformation layer (dbt), including the modelling that harmonises sources and versions data properly.<br> Turning raw learning and assessment data into insights that customers and internal teams can act on, and moving us toward live and near-real-time reporting.<br> Reliability and cost: monitored, well-behaved pipelines, sensible incremental versus full-refresh models, and a real handle on data spend.<br> Data products beyond dashboards: APIs, reports and exports, and the content mappings that keep reporting accurate, owned inside the publish pipeline rather than as manual handoffs.<br> The data layer in product design: partnering with backend and frontend engineers so new features integrate with data cleanly from the start, and raising the bar for data practice across engineering.<br> How do we support and benefit our employees: Competitive salary and stock options — everyone shares in what we're building 25 days holiday + public holidays Fully equipped setup from day one (no waiting for laptops) Regular company offsites and team socials A flat, transparent culture with direct access to leadership At Pixaera, we're committed to building a workplace where everyone feels respected, supported, and empowered to thrive.<br> We believe that diverse perspectives fuel creativity and innovation, which is why we celebrate individuality and foster an environment of inclusion and belonging.<br> We're proud to be an equal opportunity employer — discrimination of any kind has no place here.<br> No matter your background, identity, or lived experience, you're welcome at Pixaera.<br> Skills / Experiences Core Significant professional experience as a Data Engineer , senior enough to own a platform and its customer-facing outputs on your own.<br> Proven ability to independently master new concepts and technologies.<br> Strong skills in analysing business processes and modelling data for reporting.<br> Proven ability to communicate complex technical concepts and trade-offs to non-technical audiences.<br> Excellent written and spoken English.<br> Self-motivated, independent and proactive; able to thrive in a fully remote environment.<br> AI-native: fluent with agentic coding tools such as Claude Code on real deliverables, and keen to build AI and agentic steps into data pipelines and tooling.<br> Data tech Strong proficiency in writing Python and SQL.<br> Strong grounding in data structures, algorithms, and system design.<br> Proficiency with data warehousing tools like Snowflake and data transformation tools like dbt.<br> Comfortable modelling and delivering customer-facing dashboards in a BI tool such as Omni , Looker, Metabase or similar.<br> General tech Solid software engineering practices: testing, code review, CI/CD.<br> Experience deploying data solutions to production environments .<br> Experience with performance optimization and cost control in data pipelines.<br> Experience with one or more public clouds (like AWS, Google Cloud, Azure).<br> Nice to Have Experience with Omni specifically, or migrating between BI tools.<br> Backend fluency (Golang, NodeJS, Postgres) to fix data issues at their source.<br> Setting up and prototyping solutions using AWS; Kubernetes.<br> Experience working at or with education and/or assessment solutions.<br></span> </div>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML / CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational mathematics problems that simulate real mathematical research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li> <li>Base problems on real research challenges or practical applications from mathematical practice;</li> <li>Verify solutions using Python with standard mathematical libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for mathematicians with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Mathematics (Pure or Applied) or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical methods and symbolic computation;</li> <li>Ability to design problems that mirror real mathematical research workflows;</li> <li>Familiarity with computational complexity theory;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational mathematics problems that simulate real mathematical research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li> <li>Base problems on real research challenges or practical applications from mathematical practice;</li> <li>Verify solutions using Python with standard mathematical libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for mathematicians with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Mathematics (Pure or Applied) or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical methods and symbolic computation;</li> <li>Ability to design problems that mirror real mathematical research workflows;</li> <li>Familiarity with computational complexity theory;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational physics problems that simulate real physics research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li> <li>Base problems on real research challenges or practical applications from physics practice;</li> <li>Verify solutions using Python with standard physics simulation libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for optical engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in physics (theoretical, experimental, or computational) or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical simulation methods;</li> <li>Ability to design problems that mirror real physics research workflows;</li> <li>Creative thinking in problem design across diverse physics areas;</li> <li>Familiarity with physics modeling and approximation techniques;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational physics problems that simulate real physics research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li> <li>Base problems on real research challenges or practical applications from physics practice;</li> <li>Verify solutions using Python with standard physics simulation libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for physicists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical simulation methods;</li> <li>Ability to design problems that mirror real physics research workflows;</li> <li>Creative thinking in problem design across diverse physics areas;</li> <li>Familiarity with physics modeling and approximation techniques;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational physics problems that simulate real physics research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li> <li>Base problems on real research challenges or practical applications from physics practice;</li> <li>Verify solutions using Python with standard physics simulation libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for optical engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in physics (theoretical, experimental, or computational) or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical simulation methods;</li> <li>Ability to design problems that mirror real physics research workflows;</li> <li>Creative thinking in problem design across diverse physics areas;</li> <li>Familiarity with physics modeling and approximation techniques;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>The instructional designer is responsible for designing and developing engaging, high-quality digital learning experiences that meet the needs of clients and learners. The role works closely with subject matter experts and internal teams to transform knowledge into interactive online learning content while ensuring instructional quality, learner engagement, and alignment with Aanaab’s standards. Responsibilities also include content quality assurance, course publishing, stakeholder collaboration, and continuous improvement of learning solutions.</p> <h4>Responsibilities</h4> <p><strong>Content development & design</strong><br> Partner with SMEs to design course outlines, storyboards, and video scripts.<br> Develop and review training materials (presentations, assignments, readings) for quality and coherence.<br> Create lecture presentations for recorded video sessions.</p> <p><strong>Production & QA</strong><br> Coach SMEs for videography sessions; arrange rehearsals.<br> Coordinate videography, editing, and design teams.<br> Conduct final QA and review of all course materials.</p> <p><strong>Platform & launch</strong><br> Set up course pages and upload content on the Aanaab platform.<br> Collaborate with marketing on course promotion and engagement strategies.<br> Present work to clients and gather feedback for continuous improvement.</p> <p><strong>Research & strategy</strong><br> Research training needs to inform content strategy.<br> Analyze course data and feedback to recommend improvements.</p> <h4>Requirements</h4> <ul> <li>Bachelor's degree in education, instructional design, or related field.</li> <li>3–5 years in digital learning/instructional design.</li> <li>Experience building SCORM courses.</li> <li>Hands-on AI tools usage.</li> <li>Portfolio of interactive learning experiences.</li> <li>Experience with LMS platforms.</li> <li>Experience in AI-generated learning workflows.</li> <li>Experience in subscription learning platforms.</li> <li>Experience in microlearning ecosystems.</li> <li>Understanding of xAPI and learning analytics.</li> <li>Experience working cross-functionally with product/tech teams.</li> <li>Excellent Arabic and English (written and spoken).</li> </ul> <h4>Benefits</h4> <ul> <li>Flexible remote work.</li> <li>Medical insurance (as per company policy).</li> <li>Supportive and collaborative work environment.</li> <li>Open and collaborative culture.</li> <li>Continuous learning and growth opportunities.</li> <li>High level of autonomy and ownership.</li> <li>Opportunity to make a real impact.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The instructional designer is responsible for designing and developing engaging, high-quality digital learning experiences that meet the needs of clients and learners. The role works closely with subject matter experts and internal teams to transform knowledge into interactive online learning content while ensuring instructional quality, learner engagement, and alignment with Aanaab’s standards. Responsibilities also include content quality assurance, course publishing, stakeholder collaboration, and continuous improvement of learning solutions.</p> <h4>Responsibilities</h4> <p><strong>Content development & design</strong><br> Partner with SMEs to design course outlines, storyboards, and video scripts.<br> Develop and review training materials (presentations, assignments, readings) for quality and coherence.<br> Create lecture presentations for recorded video sessions.</p> <p><strong>Production & QA</strong><br> Coach SMEs for videography sessions; arrange rehearsals.<br> Coordinate videography, editing, and design teams.<br> Conduct final QA and review of all course materials.</p> <p><strong>Platform & launch</strong><br> Set up course pages and upload content on the Aanaab platform.<br> Collaborate with marketing on course promotion and engagement strategies.<br> Present work to clients and gather feedback for continuous improvement.</p> <p><strong>Research & strategy</strong><br> Research training needs to inform content strategy.<br> Analyze course data and feedback to recommend improvements.</p> <h4>Requirements</h4> <ul> <li>Bachelor's degree in education, instructional design, or related field.</li> <li>3–5 years in digital learning/instructional design.</li> <li>Experience building SCORM courses.</li> <li>Hands-on AI tools usage.</li> <li>Portfolio of interactive learning experiences.</li> <li>Experience with LMS platforms.</li> <li>Experience in AI-generated learning workflows.</li> <li>Experience in subscription learning platforms.</li> <li>Experience in microlearning ecosystems.</li> <li>Understanding of xAPI and learning analytics.</li> <li>Experience working cross-functionally with product/tech teams.</li> <li>Excellent Arabic and English (written and spoken).</li> </ul> <h4>Benefits</h4> <ul> <li>Flexible remote work.</li> <li>Medical insurance (as per company policy).</li> <li>Supportive and collaborative work environment.</li> <li>Open and collaborative culture.</li> <li>Continuous learning and growth opportunities.</li> <li>High level of autonomy and ownership.</li> <li>Opportunity to make a real impact.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original material engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for materials scientists and engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in materials science or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original material engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for materials scientists and engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in materials science or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in civil engineering or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in civil engineering or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>