Glass Technician Jobs in Lebanon

<p>Responsible for assessment, diagnosis, treatment planning and provision of psychotherapy, in an outpatient setting, to a defined caseload of child and adolescent patients and their families. Maintains appropriate documentation for services provided. Supports the mission and vision of the American University of Beirut Medical Center (AUBMC) and that of the Department of Psychiatry.</p><p>ESSENTIAL FUNCTIONS / TASK GROUPS</p><p>Conduct in a safe, ethical and professional manner evidence-based psychotherapeutic interventions with the aim of improving patients mental health.</p><p>Provide emergency assessment and intervention as required.</p><p>Evaluate treatment efficacy and patient progress to aid in establishing or adjusting treatment.</p><p>Communicate in a clear and concise manner any information that may influence the patient s treatment or well-being, including preparing clinical progress notes and other required documentation.</p><p>Consult with psychiatrists and other team members as needed.</p><p>Review the appropriate medical records and patient history.</p><p>Prepare and submit reports on mental health activities as requested.</p><p>Participate in department meetings, treatment team meetings and educational/staff development activities as required for this position.</p><p>Perform other related duties as assigned by the direct supervisor.</p><p>COMPETENCIES</p><p>Client Focus - Professionalism - Initiative - Communication Skills - Problem Solving - Team Skills - Planning &amp; Organizing</p><p>Patient Assessment - Safety and Health Management - Ethical Practice</p><p>KNOWLEDGE / KNOW-HOW</p><p>Knowledge: Knowledge of child and adolescent psychopathology and its psychotherapeutic applications.</p><p>Education: Minimum Education: Master's Degree in Clinical Psychology or Counseling Psychology.</p><p>Licensures: License to practice from the Lebanese Ministry of Public Health.</p><p>Experience: Minimum Experience: 2 years of post-master's experience in a clinical setting.</p><p>Languages: Arabic and English. French is an asset.</p><p>Computer Skills: Proficient in the use of Microsoft Applications</p><p>REPORTING CHANNEL / SUPERVISORY CHANNEL</p><p>Reporting Channel: Reporting to: 1st Level: Director, Child &amp; Adolescent Psychiatry Division</p><p>Reporting to: 2nd Level: 2nd Level: Vice Chair of Psychology Affairs</p><p>Supervisory Channel: None</p><p>JOB CHARACTERISTICS</p><p>Physical Effort: Little or no physical effort</p><p>Work Schedule: Regular weekdays</p><p>Working Conditions: Exposed to patient element</p><p><strong>Desired Candidate Profile</strong></p><p>Minimum Education: Master's Degree in Clinical Psychology or Counseling Psychology.</p><p>Licensures: License to practice from the Lebanese Ministry of Public Health.</p><p>Experience: Minimum Experience: 2 years of post-master's experience in a clinical setting.</p><p>Languages: Arabic and English. French is an asset.</p><p>Computer Skills: Proficient in the use of Microsoft Applications</p>

<p>We are seeking a detail-oriented and results-driven Senior Associate, Performance to join our dynamic team. In this role, you'll lead the planning, execution, and optimization of cutting-edge paid media campaigns across a diverse range of digital platforms. Your strategic insights and expertise will have a significant impact on our clients' business growth, making you a key player in shaping the future of digital advertising in the region. Develop and present compelling paid performance proposals that showcase innovative solutions and drive client buy-in. Provide expert guidance and thought leadership across Paid Social, Paid Search, and Programmatic advertising channels. Consult with and guide the team to design and implement highly effective bidding strategies tailored to a diverse portfolio of clients in the MENA region. Collaborate closely with operations teams to ensure campaigns consistently achieve and exceed KPIs, providing proactive optimization guidance and troubleshooting support. Serve as the primary point of expertise in client discussions, confidently articulating complex bidding strategies and best practices in a clear and compelling manner. Lead client onboarding processes, providing comprehensive support for their technical setup across various bidding platforms. Cultivate strong, trusting relationships with clients by proactively identifying and delivering innovative solutions that help them achieve their unique business objectives. Prepare and deliver compelling Quarterly Business Reviews, consolidating key insights, highlighting successes, and providing data-driven recommendations for future growth. Act as the go-to resource for all things bidding, providing ongoing training, consultation, best practices, platform updates, and mentorship to team members across the organization. Lead cross-functional digital projects, such as data partnerships, attribution modeling initiatives, and Dynamic Creative Optimization (DCO) implementations.</p><p><strong>Desired Candidate Profile</strong></p><p>A minimum of 2-3 years of proven experience in a similar role within a fast-paced agency environment. Exceptional client relationship management skills and the ability to design and articulate effective bidding strategies. Strong critical thinking and problem-solving skills, with the ability to analyze complex data and develop actionable solutions. Exceptional leadership, communication, and presentation skills, with the ability to inspire and influence both internal teams and external clients. A deep understanding of the digital advertising landscape, including tracking ecosystems (MMP, Analytics360, Campaign Manager) and emerging technologies.</p>

<p><h4>Description</h4> <p>We're looking for a hands-on data quality analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br> You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Validate data displayed across dashboards, reports, web, and mobile applications</li> <li>Reconcile source data, transformed datasets, and final analytical outputs</li> <li>Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports</li> <li>Ensure consistency of metrics across multiple dashboards and reporting platforms</li> <li>Validate business rules and ensure reported figures align with approved definitions</li> <li>Identify data discrepancies and investigate inconsistencies before release</li> <li>Support user acceptance testing (UAT) for dashboards, reports, chatbots, and other analytical products</li> <li>Act as the quality gate before dashboards and reports are released to end users</li> <li>Log, track, and support the resolution of data quality issues</li> <li>Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues</li> <li>Maintain documentation for reconciliation rules, report logic, and validation processes</li> <li>Contribute to improving reporting standards, validation checklists, and quality practices</li> </ul> <h4>You're our match if you have</h4> <ul> <li>3–5 years of experience in data quality, business intelligence, analytics, or reporting assurance</li> <li>Hands-on experience validating dashboards, reports, or business intelligence solutions</li> <li>Strong SQL skills for data validation, reconciliation, and comparison</li> <li>Experience working with Power BI, Tableau, or similar reporting platforms</li> <li>Strong understanding of KPIs, metrics, business rules, and calculation logic</li> <li>Experience working with enterprise data sources such as ERP, CRM, or HCM systems</li> <li>Excellent analytical skills with exceptional attention to detail</li> <li>Ability to communicate data issues clearly to both technical and business stakeholders</li> <li>Strong sense of ownership and commitment to data accuracy</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Validating analytics for web or mobile applications</li> <li>Government or enterprise reporting environments</li> <li>Data governance, reporting standards, or data quality frameworks</li> <li>Supporting executive-level reporting</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We're looking for a hands-on data quality analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br> You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Validate data displayed across dashboards, reports, web, and mobile applications</li> <li>Reconcile source data, transformed datasets, and final analytical outputs</li> <li>Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports</li> <li>Ensure consistency of metrics across multiple dashboards and reporting platforms</li> <li>Validate business rules and ensure reported figures align with approved definitions</li> <li>Identify data discrepancies and investigate inconsistencies before release</li> <li>Support user acceptance testing (UAT) for dashboards, reports, chatbots, and other analytical products</li> <li>Act as the quality gate before dashboards and reports are released to end users</li> <li>Log, track, and support the resolution of data quality issues</li> <li>Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues</li> <li>Maintain documentation for reconciliation rules, report logic, and validation processes</li> <li>Contribute to improving reporting standards, validation checklists, and quality practices</li> </ul> <h4>You're our match if you have</h4> <ul> <li>3–5 years of experience in data quality, business intelligence, analytics, or reporting assurance</li> <li>Hands-on experience validating dashboards, reports, or business intelligence solutions</li> <li>Strong SQL skills for data validation, reconciliation, and comparison</li> <li>Experience working with Power BI, Tableau, or similar reporting platforms</li> <li>Strong understanding of KPIs, metrics, business rules, and calculation logic</li> <li>Experience working with enterprise data sources such as ERP, CRM, or HCM systems</li> <li>Excellent analytical skills with exceptional attention to detail</li> <li>Ability to communicate data issues clearly to both technical and business stakeholders</li> <li>Strong sense of ownership and commitment to data accuracy</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Validating analytics for web or mobile applications</li> <li>Government or enterprise reporting environments</li> <li>Data governance, reporting standards, or data quality frameworks</li> <li>Supporting executive-level reporting</li> </ul></p><p></p>

Review and study tender documents, including drawings, specifications, Bills of Quantities (BOQ), contract conditions, and other related documentation to fully understand project requirements. <br>Identify discrepancies, ambiguities, or missing information in tender documents and prepare Requests for Information (RFIs) or technical clarifications when necessary. <br>Perform detailed quantity take-offs and prepare accurate material, labor, equipment, and subcontract cost estimates. <br>Analyze project drawings and specifications to determine project scope and estimate direct and indirect construction costs. <br>Prepare and issue inquiries to suppliers and subcontractors, ensuring quotations fully comply with project specifications and contractual requirements. <br>Evaluate supplier and subcontractor quotations based on technical compliance, commercial terms, quality, delivery schedule, and overall value. <br>Negotiate prices, payment terms, delivery schedules, and commercial conditions to obtain the most competitive offers. <br>Prepare comprehensive comparison sheets to evaluate supplier and subcontractor quotations and recommend the most suitable offers. <br>Develop detailed cost estimates including materials, labor, plant, equipment, preliminaries, overhead, contingencies, and profit margins. <br>Price Bills of Quantities (BOQ), prepare build-up rates for non-standard items, and maintain up-to-date knowledge of prevailing market prices. <br>Coordinate with Project Managers, Planning Engineers, Procurement, QS, and other departments to ensure the accuracy and completeness of estimates. <br>Participate in site visits and pre-tender meetings whenever required to gain a better understanding of project conditions and associated risks. <br>Identify commercial and technical risks within tenders and propose mitigation measures and value engineering opportunities where applicable. <br>Prepare complete tender submissions in accordance with client instructions and submission deadlines. <br>Present final cost estimates, pricing strategies, assumptions, exclusions, and recommendations to management for approval before tender submission. <br>Maintain an updated database of historical project costs, supplier pricing, labor productivity rates, and market trends to improve estimating accuracy. <br>Assist in post-tender negotiations, clarifications, and contract award processes when required. <br>Ensure compliance with company policies, quality standards, health and safety requirements, and applicable engineering codes. <br>Support continuous improvement initiatives by identifying opportunities to optimize estimating processes and cost control practices. <br>Perform any other duties assigned by management that are related to the position. Minimum of 5 years of experience in construction estimation or tendering. <br>Previous experience in a contracting company is highly preferred. <br>Experience with large-scale building, infrastructure, or industrial projects is an advantage

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We're looking for a hands-on Data Quality Analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br> You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions.<br> Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.<br> What You'll Do ❏ Validate data displayed across dashboards, reports, web, and mobile applications ❏ Reconcile source data, transformed datasets, and final analytical outputs ❏ Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports ❏ Ensure consistency of metrics across multiple dashboards and reporting platforms ❏ Validate business rules and ensure reported figures align with approved definitions ❏ Identify data discrepancies and investigate inconsistencies before release ❏ Support User Acceptance Testing (UAT) for dashboards, reports, chatbots, and other analytical products ❏ Act as the quality gate before dashboards and reports are released to end users ❏ Log, track, and support the resolution of data quality issues ❏ Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues ❏ Maintain documentation for reconciliation rules, report logic, and validation processes ❏ Contribute to improving reporting standards, validation checklists, and quality practices You're Our Match If You Have ❏ 3–5 years of experience in Data Quality, Business Intelligence, Analytics, or Reporting Assurance ❏ Hands-on experience validating dashboards, reports, or business intelligence solutions ❏ Strong SQL skills for data validation, reconciliation, and comparison ❏ Experience working with Power BI, Tableau, or similar reporting platforms ❏ Strong understanding of KPIs, metrics, business rules, and calculation logic ❏ Experience working with enterprise data sources such as ERP, CRM, or HCM systems ❏ Excellent analytical skills with exceptional attention to detail ❏ Ability to communicate data issues clearly to both technical and business stakeholders ❏ Strong sense of ownership and commitment to data accuracy Bonus Points If You Have Experience With ❏ Validating analytics for web or mobile applications ❏ Government or enterprise reporting environments ❏ Data governance, reporting standards, or data quality frameworks ❏ Supporting executive-level reporting</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b><br></b></p><p><b>About the Role </b>Are you passionate about building modern, scalable data platforms that power business decisions and product innovation? As a Staff Data Engineer at Toters, you'll define the technical direction of our data platform while designing and building reliable, high-performance data infrastructure that scales with our business. You'll lead the architecture of our batch and streaming data ecosystem, establish engineering standards, and drive platform evolution across multiple teams. Working closely with Engineering Managers, Software Engineers, Product Managers, Analytics, and Machine Learning teams, you'll influence technical strategy, mentor engineers, and ensure our data platform remains scalable, reliable, and cost-efficient. This is a highly hands-on technical leadership role where you'll shape how data is ingested, processed, governed, and consumed across the organization.</p><p>In this role, you will:</p><ul><li>Define and drive the long-term technical vision and architecture for Toters' data platform.</li><li>Lead the design and implementation of scalable batch and streaming data platforms that support analytics, operational systems, and machine learning.</li><li>Design resilient, cloud-native data architectures capable of processing high-volume event streams and transactional workloads.</li><li>Establish engineering standards, architectural patterns, and best practices for data engineering across the organization.</li><li>Design scalable data models, schemas, and data contracts that enable long-term maintainability, governance, and interoperability.</li><li>Drive architectural decisions that improve scalability, reliability, security, observability, and operational efficiency across the platform.</li><li>Lead complex technical initiatives such as platform migrations, streaming modernization, lakehouse evolution, and data infrastructure improvements.</li><li>Evaluate new technologies and recommend pragmatic solutions that balance scalability, operational complexity, and cost.</li><li>Improve platform observability through monitoring, alerting, data quality validation, lineage, and operational dashboards.</li><li>Own the reliability of critical production data systems by leading incident response, root cause analysis, and long-term platform improvements.</li><li>Optimize cloud infrastructure, storage, compute, and streaming costs while maintaining high platform performance.</li><li>Partner with Engineering Managers, Product Managers, Analytics, Machine Learning, and Software Engineering teams to define platform capabilities and technical roadmaps.</li><li>Mentor Senior Data Engineers through architecture reviews, technical coaching, and engineering leadership.</li><li>Conduct high-quality code and design reviews that raise the technical bar across multiple teams.</li><li>Drive technical discussions, resolve complex engineering challenges, and influence cross-functional decision-making across the engineering organization.</li></ul><p>Why Toters?</p><ul><li>Flexible work environment with hybrid-friendly roles.</li><li>Opportunity to define and shape the future of Toters' modern data platform.</li><li>Lead high-impact technical initiatives that influence multiple engineering teams.</li><li>Solve complex engineering challenges involving distributed systems, streaming, and large-scale data processing.</li><li>Collaborate with talented engineers in a culture of mentorship, ownership, and continuous learning.</li><li>Direct impact on products used by thousands of customers every day.</li><li>Competitive compensation package.</li><li>Exclusive discounts on Toters orders.</li><li>First-class medical insurance.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>9+ years of experience designing and building large-scale production data platforms or distributed data systems.</li><li>Deep expertise in SQL and advanced data modeling, including dimensional modeling (facts and dimensions), schema design, and data architecture.</li><li>Expert-level experience building distributed streaming systems using Apache Kafka, Amazon Kinesis, Apache Pulsar, or equivalent technologies, with strong knowledge of partitioning, consumer groups, delivery semantics, schema management, and production troubleshooting.</li><li>Deep understanding of distributed systems, batch and streaming data processing, event time, processing time, windowing, stateful processing, fault tolerance, and the challenges of achieving exactly-once processing.</li><li>Strong programming skills in Python and/or JVM languages such as Java or Scala.</li><li>Extensive experience designing modern data lakehouse architectures using Amazon S3, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</li><li>Experience building cloud-native data platforms on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming services, IAM, networking, infrastructure security, and cloud cost optimization.</li><li>Hands-on experience with distributed processing technologies such as Apache Flink, ClickHouse, Trino, and similar analytical platforms.</li><li>Experience designing and implementing Change Data Capture (CDC) architectures using Debezium or similar technologies.</li><li>Experience with modern transformation frameworks such as dbt.</li><li>Strong experience with Infrastructure as Code using Terraform, containerization using Docker, and orchestration platforms such as Kubernetes.</li><li>Proven experience owning mission-critical production systems, leading incident response, and driving long-term platform reliability.</li><li>Demonstrated ability to define engineering standards, influence architectural decisions, and lead technical initiatives across multiple teams.</li><li>Excellent communication and technical writing skills, with the ability to document architecture, influence stakeholders, and mentor senior engineers.</li><li>Passion for building scalable, reliable, maintainable, and cost-efficient data platforms.</li><li>Nice to Have Experience designing enterprise-scale streaming architectures using Apache Flink.</li><li>Experience leading lakehouse migrations using Apache Iceberg or similar technologies.</li><li>Experience implementing large-scale CDC platforms using Debezium.</li><li>Experience building self-service data platforms and developer tooling.</li><li>Experience with ML Feature Stores, Customer Data Platforms (CDPs), or real-time personalization platforms.</li><li>Experience working in high-growth technology companies, marketplace platforms, or on-demand delivery businesses.</li><li>Experience contributing to open-source technologies or internal engineering frameworks.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Verify label accuracy and compliance with customer specifications.</p><p>Conduct pre-production inspections and monitor production activities.</p><p>Ensure compliance with GMP, GHP, CCP, and OPRP requirements.</p><p>Prevent allergen cross-contamination through proper production coordination.</p><p>Train and communicate food safety requirements to production personnel.</p><p>Identify, report, and follow up on non-conformities and corrective actions.</p><p>Perform routine quality inspections and maintain accurate production records.</p><p>Support production operations and act as Production Supervisor when required.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Food Science, Nutrition, Quality Assurance, or a related field.</li><li>1-3 years of experience in Quality Control or Quality Assurance within the food manufacturing industry.</li><li>Knowledge of GMP, GHP, HACCP, CCP, and food safety standards.</li><li>Strong attention to detail and problem-solving skills.</li><li>Good communication and teamwork abilities.</li><li>Proficient in Microsoft Office (Word &amp; Excel).</li><li>Ability to work in a fast-paced production environment.</li></ul><p></p></section>

We are looking for an experienced Civil Foreman to supervise and oversee civil construction works for building projects in Ghana. <br> <br>Key Responsibilities: <br> <br>Supervise and coordinate daily civil construction activities on site, including formwork, steel reinforcement (rebar), and concrete works <br>Manage labor teams, subcontractors, and site resources efficiently <br>Ensure all civil works are executed according to project drawings, specifications, and quality standards <br>Monitor daily site progress and prepare work schedules <br>Conduct site inspections and ensure compliance with safety, quality, and project requirements <br>Coordinate with engineers, project managers, and other site personnel to ensure smooth project execution <br>Identify and resolve site issues to maintain project timelines <br> <br>Requirements: <br> <br>Proven experience as a Civil Foreman in building or infrastructure projects <br>Previous experience with contracting/construction companies <br>Strong knowledge of formwork, steel reinforcement (rebar), and concrete works <br>Ability to read and interpret construction drawings and specifications <br>Excellent leadership, teamwork, and communication skills <br>Ability to manage labor teams and coordinate multiple site activities <br>Good English communication skills <br>Willingness to relocate/work in Ghana <br> <br>The ideal candidate should be organized, proactive, detail-oriented, and capable of delivering high-quality civil works while ensuring safety, efficiency, and adherence to project schedules. <br> <br>Interested candidates may send their CVs

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Warehouse Controller is responsible for overseeing and managing warehouse operations to ensure efficient and accurate handling of inventory. This role involves monitoring stock levels, coordinating inventory movements, and ensuring compliance with company policies and procedures.</p><p>Key Responsibilities:</p><ul><li>Receive the shipment on the loading docks</li><li>Control every order before loading</li><li>Control the Malt Gallery (cage) out orders and transfers</li><li>Control returned and damaged goods and conduct a detailed reconciliation between all pos / receipts</li><li>Handle all employees orders and issue manual orders for warehouse employees on the spot</li><li>Check on the proper packing of large orders and deliveries before loading</li><li>Participate in the warehouse inventory</li><li>Participate in the orders preparation, could be using the small forklift</li><li>Participate in the orders preparation especially in case of staff shortage or during stressful situations</li><li>Report discrepancies to the invoicing team/supervisor</li><li>Report abuses to the warehouse manager</li><li>Conduct regular stock audits and reconciliations to maintain inventory accuracy.</li></ul></div></section>

<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>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li> <li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li> <li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li> <li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</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 mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li> <li>3+ years of mortgage, lending, real estate, or financial services experience;</li> <li>Current or recent experience in underwriting and origination or adjacent roles;</li> <li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li> <li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</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 $50 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>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li> <li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li> <li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li> <li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</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 mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li> <li>3+ years of mortgage, lending, real estate, or financial services experience;</li> <li>Current or recent experience in underwriting and origination or adjacent roles;</li> <li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li> <li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</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 $50 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>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li> <li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li> <li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li> <li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</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 mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li> <li>3+ years of mortgage, lending, real estate, or financial services experience;</li> <li>Current or recent experience in underwriting & origination or adjacent roles;</li> <li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li> <li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</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 $50 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>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li> <li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li> <li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li> <li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</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 mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li> <li>3+ years of mortgage, lending, real estate, or financial services experience;</li> <li>Current or recent experience in underwriting & origination or adjacent roles;</li> <li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li> <li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</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 $50 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>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li> <li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li> <li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li> <li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</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 mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li> <li>3+ years of mortgage, lending, real estate, or financial services experience;</li> <li>Current or recent experience in underwriting and origination or adjacent roles;</li> <li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li> <li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</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 $50 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>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li> <li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li> <li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li> <li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</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 mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li> <li>3+ years of mortgage, lending, real estate, or financial services experience;</li> <li>Current or recent experience in underwriting and origination or adjacent roles;</li> <li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li> <li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</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 $50 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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance); Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E; Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance; Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field; 3+ years of of mortgage, lending, real estate, or financial services experience; Current or recent experience in underwriting &amp; origination or adjacent roles; Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1; Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid 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 $50 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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance); Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E; Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance; Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field; 3+ years of of mortgage, lending, real estate, or financial services experience; Current or recent experience in underwriting &amp; origination or adjacent roles; Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1; Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid 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 $50 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>

Sales responsibilities <br>* Greet and qualify showroom visitors (gym owners, hotels, clinics, corporate/residential buildings, home-gym buyers) <br>* Demo equipment, explain specs, materials, warranty, and load ratings <br>* Prepare quotations, follow up on open quotes, and close orders <br>* Log every lead and interaction in the CRM — no lead left untracked <br>* Coordinate delivery and installation dates with the logistics/technical team <br>* Handle after-sale calls: spare parts, warranty claims, complaints <br>* Maintain showroom presentation — clean floor, correct pricing, working units <br>Online support responsibilities <br>* Respond to WhatsApp Business inquiries and Instagram/Facebook/TikTok DMs during working hours — target first response under 15 minutes <br>* Answer questions on pricing, availability, specs, and delivery; send catalogues, photos, and videos on request <br>* Qualify online leads and convert them to showroom visits, site visits, or direct quotations <br>* Send quotations and follow-ups over WhatsApp and track them like any other lead <br>* Monitor comments on posts and ads; move serious inquiries into DM <br>* Escalate complaints, custom projects, and large-project inquiries to the Sales Manager <br>* Keep saved replies, catalogue files, and price lists current <br>* Report weekly on inquiry volume, response time, and conversion by channel <br>Stock responsibilities <br>* Receive and inspect incoming shipments against packing lists and supplier invoices; flag shortages and damages immediately <br>* Record all stock in/out movements (sales, transfers, returns, demo units) on the same day <br>* Run weekly cycle counts and a full monthly count; investigate and report variances <br>* Maintain accurate item codes, barcodes, and locations across showroom and warehouse <br>* Flag slow-moving and low-stock items to management for reorder <br>* Manage spare parts inventory <br>Requirements <br>* 2+ years in retail/B2B sales, showroom sales, inventory control, or online customer support <br>* Fluent Arabic and English (written and spoken) — clear, professional writing for chat <br>* Comfortable with Excel, inventory/POS software, WhatsApp Business, and social media inboxes <br>* Physically able to handle equipment (plates, dumbbells, machine parts) <br>* Organized, detail-driven, honest with numbers <br>* Fitness industry or equipment background is a strong plus <br>* Valid driver’s license preferred <br>KPIs Monthly sales target · Quote-to-close rate · Online first-response time (<15 min) · DM-to-quotation conversion · Stock count accuracy (target 98%+) · Zero unrecorded movements <br>Package Base salary + commission on sales. Working hours per mall schedule, including weekends on rotation. <br>Want this as a Word doc, or an Arabic version for local job boards?

<p><h4>Profile</h4> <p>The School of Architecture and Design at the Lebanese American University invites applications for an adjunct faculty position in Islamic art and architecture beginning in the Spring 2027 semester.</p> <p>We seek a scholar specializing in Islamic art, architecture, and material culture of the Arab world. The successful candidate will contribute to the MA program in Islamic Art through teaching and research in areas that may include, but are not limited to: Islamic art and architectural history, material culture studies, and/or cultural and intellectual history of artistic production.</p> <p>The successful candidate will be expected to teach graduate courses in the MA program in Islamic Art. The ability to engage with interdisciplinary approaches and to connect Islamic art and architecture to broader historical, cultural, and social contexts is highly desirable.</p> <h4>Minimum requirements</h4> <ul> <li>A PhD in Islamic Art History, Architectural History, or Middle Eastern History.</li> <li>Demonstrated research record in Islamic art, architecture, and material culture, particularly in relation to the Arab world.</li> <li>University-level teaching experience at the undergraduate and/or graduate level.</li> <li>Evidence of scholarly publications and ongoing research activity.</li> <li>Excellent communication skills and the ability to work within an interdisciplinary academic environment.</li> <li>Preference will be given to candidates whose research addresses the artistic, architectural, and material cultures of the Arab world from the medieval to the modern period and who can contribute to the intellectual life of the MA program in Islamic Art.</li> </ul> <h4>Duration of position</h4> <p>This position is for the Spring 2027 term. Adjunct contracts are renewable upon mutual satisfaction.</p> <h4>Application process</h4> <p>Interested candidates should submit their application electronically specifying the job title in the subject line. The application should include the following:</p> <ul> <li>A letter of interest describing their research and teaching interests, in addition to a statement on their pedagogical approach.</li> <li>Curriculum vitae, including contact information for three academic references.</li> <li>Samples of scholarly publications (optional but encouraged).</li> </ul> <p>Applications deadline: September 1, 2026<br> Notifications will be sent by October 10, 2026</p> <p>Note: The adjunct faculty position is a part-time position. As such, interested candidates should have a Lebanese work permit to be eligible to apply.</p> <p>The Lebanese American University is an equal opportunity employer operating in Lebanon under a charter from the Regents of the State University of New York.</p></p><p></p>