Real Estate Sales Jobs in Jordan
1701 Jobs Found
<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>
<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>
<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 material scientists and engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Material 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 material scientists and engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Material 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>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Optimiza is a regional systems integrator and digital transformation consultancy delivering consulting, business, and technology solutions across multiple industries.<br> We help organizations turn technology ambition into practical outcomes, combining advisory expertise with hands-on delivery to solve complex business challenges and support long-term transformation.<br> As a Microsoft Copilot AI Solution Engineer, you will play a central role in helping clients shape how Microsoft Copilot and AI can create measurable value across their business.<br> This role sits at the intersection of solution engineering, advisory, and client engagement, translating emerging AI capabilities into clear, relevant, and commercially meaningful opportunities for enterprise stakeholders.<br> Responsibilities Lead technical discovery sessions and workshops with enterprise clients to understand business challenges and map them to Microsoft Copilot 365 and AI solutions.<br> Design and deliver tailored, scenario-based demonstrations of Microsoft Copilot for Microsoft 365, Power Platform, and Copilot Studio.<br> Architect end-to-end AI solutions incorporating Agentic AI, autonomous agents, and AI automation pipelines for client use cases.<br> Respond to RFPs/RFIs with technically accurate, business-aligned proposals and own technical sections of bids and solution documents.<br> Collaborate with sales to qualify opportunities, develop account strategies, and accelerate deal closure.<br> Provide effort and complexity estimates for implementation scoping.<br> Conduct AI readiness assessments and use case discovery workshops across client industries.<br> Identify, prioritize, and document high-impact AI automation and Copilot use cases with measurable ROI narratives.<br> Translate complex AI capabilities into business value stories for executive and technical stakeholders.<br> Advise clients on Microsoft's AI roadmap and strategic adoption paths.<br> Design and deliver end-user adoption programs for Microsoft Copilot 365, including training, champion programs, and adoption campaigns.<br> Develop adoption metrics frameworks and track utilization and engagement post-deployment.<br> Support clients through change management challenges related to AI tool introduction.<br> Produce presales and enablement content such as solution briefs, capability decks, demo scripts, ROI calculators, use case libraries, and video walkthroughs.<br> Build and maintain reusable demo environment libraries.<br> Contribute to thought leadership through blogs, case studies, and event presentations.<br> Support marketing with technically accurate campaign and event materials.<br> Coach junior presales and sales team members on Microsoft AI and Copilot positioning.<br> Maintain alignment with Microsoft account teams and leverage partner programs, co-sell opportunities, and technical resources.<br> Annual Bonus Class A Health Insurance Training & Development Performance Bonus Experience 4–6 years of experience in presales, solution consulting, or technical sales within the Microsoft ecosystem Demonstrable experience in Copilot 365 presales or implementation — including proof-of-concept delivery and client-facing workshops Proven track record of designing and delivering AI use case consulting engagements — from discovery through business case development Experience designing or contributing to end-user adoption programs for enterprise software or AI tools Eligible to work in Jordan Technical Skills Deep proficiency across the Microsoft 365 suite and Copilot features (M365 Chat, Copilot in Teams, Outlook, Word, Excel, PowerPoint, SharePoint, Loop) Hands-on experience with Microsoft Power Platform: Power Automate, Power Apps, Copilot Studio (formerly Power Virtual Agents) Hands-on, practical experience with Agentic AI and autonomous agent frameworks (Microsoft Copilot Studio, Azure AI Foundry agents, Power Automate AI flows, or equivalent) Working knowledge of Azure AI services (Azure OpenAI, AI Search, Document Intelligence) and how they integrate with M365 environments Familiarity with Microsoft Entra ID, SharePoint governance, and data residency/compliance considerations relevant to Copilot deployments Ability to design AI automation workflows and explain agentic patterns (orchestrator-agent, multi-agent, retrieval-augmented generation) to both technical and non-technical audiences Soft Skills & Personal Attributes Excellent Arabic and English communication skills — written and verbal; ability to present confidently to senior executives and technical teams alike Strong storytelling ability: translating AI complexity into clear business value Preferred Certifications Any relevant AI literacy certifications (e.<br>g., Microsoft AI-900, Azure AI Fundamentals) Microsoft sales/presales accreditations (Copilot for Microsoft 365, Biz Apps) are a strong plus Nice to Have Understanding of Microsoft 365 licensing models (E3/E5, Copilot add-on SKUs, Frontline Worker)</span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span><br>JOB SUMMARY<br>Functions as the property’s strategic financial business leader. The position champions, develops and implements property-wide strategies that deliver products and services to meet or exceed the needs and expectations of the brand’s target customer and property employees. The position provides the financial expertise to enable the successful implementation of the brand service strategy and brand initiatives while maximizing the return on investment. In addition, creates and executes a business plan that is aligned with the property and brand’s business strategy and focuses on the execution of financial and accounting activities and the delivery of desirable financial results.<br>CANDIDATE PROFILE <br>Education and Experience<br>• 4-year bachelor's degree in Finance and Accounting or related major; 2 years experience in the finance and accounting or related professional area.<br>OR<br>• Master's degree in Finance and Accounting or related major; no work experience required.<br>CORE WORK ACTIVITIES<br>Engaging in Strategic Planning and Decision Making<br>• Analyzes financial data and market trends.<br>• Analyzes information, forecasts sales against expenses and creates annual budget plans.<br>• Compiles information, analyzes and monitors actual sales against projected sales.<br>• Develops means to improve profit, including estimating cost and benefit, exploring new business opportunities, etc.<br>• Analyzes differences between actual budget wages and forecasted wages for more efficient budget planning.<br>• Identifies the underlying principles, reasons, or facts of information by breaking down information or data into separate parts.<br>• Thinks creatively and practically to develop, execute and implement new business plans<br>• Protects and strengthens our competitive advantage by advocating and supporting sound business and financial decision making.<br>• Ensures a strong accounting and operational control environment to safeguard assets, improve operations and profitability.<br>• Implements a system of appropriate controls to manage business risks.<br>Leading Accounting Teams <br>• Utilizes interpersonal and communication skills to lead, influence, and encourage others; advocates sound financial/business decision making; demonstrates honesty/integrity; leads by example.<br>• Communicates the strategic goals, the focus and the owner priorities to subordinates in a clear and precise manner.<br>• Provides excellent leadership by assigning team members and other departments managers' clear accountability backed by appropriate authority.<br>• Holds staff accountable for successful performance.<br>Developing and Maintaining Finance and Accounting Goals<br>• Supports property strategy from a finance and accounting perspective<br>• Submits reports in a timely manner, ensuring delivery deadlines.<br>• Ensures Profits and Losses are documented accurately.<br>• Achieves and exceeds goals including performance goals, budget goals, team goals, etc.<br>• Ensures appropriate corrections are made to audit results if necessary.<br>• Reviews audit issues to ensure accuracy.<br>Managing Projects and Policies <br>• Monitors all taxes that apply, ensuring that taxes are current, collected and/or accrued.<br>• Generates and providing accurate and timely results in the form of reports, presentations, etc.<br>• Ensures compliance with standard and local operating procedures (SOPs and LSOPs).<br>• Oversees internal, external and regulatory audit processes.<br>• Ensures compliance with Standard Operating Procedures (SOPs).<br>• Ensures that the P&L is accurate (e.g., costs are properly matched to revenue, costs are recorded in the proper accounts).<br>Anticipating and Delivering on the Needs of Key Stakeholders<br>• Understands and meets the needs of key stakeholders (owners, corporate, guests, etc.).<br>• Understands the owners' perspective and ROI expectations.<br>• Anticipates and addresses owner needs and involves ownership in key decisions.<br>• Leverages strong functional leadership and communication skills to influence the executive team, the property's strategies and to lead own team.<br>• Advises the GM and executive committee on existing and evolving operating/financial issues.<br>• Facilitates critique meetings to review information with management team.<br>• Attends owners meetings in order to provide context and explanation for financial results.<br>• Attends meetings and communicates with the owners, understanding the priorities and strategic focus.<br>• Demonstrates a commitment to meeting the needs of all key stakeholders.<br>• Communicates financial concepts in a clear and persuasive manner that is easy to understand and drives desired behaviors.<br>Managing and Conducting Human Resource Activities<br>• Ensures team members are cross-trained to support successful daily operations.<br>• Ensures property policies are administered fairly and consistently.<br>• Ensures new hires participate in the department’s orientation program.<br>• Ensures new hires receive the appropriate new hire training to successfully perform their job.<br>• Creates appropriate development plans which develop team members based on their individual strengths, development needs, career aspirations and abilities.<br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.<br>When you join the Sheraton family, you become a member of its global community. We’ve been a place to gather and connect since 1937. At Sheraton, associates create a sense of belonging in more than 400 communities around the world. We invite, we welcome, and we connect guests through engaging experiences and thoughtful service. If you’re a team player who is excited to deliver a meaningful guest experience, we encourage you to explore your next career opportunity with Sheraton. Join us on our mission to be ‘The World’s Gathering Place’. In joining Sheraton Hotels & Resorts, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.</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 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>Requirements Core Mindset & Traits AI-First Automator You do not automate for its own sake. You point AI and automation at the work that carries real cost, risk, and toil, and you can prove the return in numbers. Quality as a Discipline Quality is built in at every stage, never inspected at the end, and you measure it with data, not opinions. Hands-On Leader You can still write the framework and debug the pipeline, and you are senior enough to set the standard and grow the team. Your engineers respect you because you can do the work. Framework Builder You build reusable frameworks and standards so automation compounds, instead of leaving behind a pile of brittle scripts. Ruthless Prioritizer You aim automation at the highest-value, highest-risk work first, and you deliver on time and on budget. Talent Multiplier You hire, coach, and stretch QA and automation engineers into a team that keeps getting measurably better.</p><p><strong>Desired Candidate Profile</strong></p><ul><li><strong>Education</strong> Bachelor's degree in Computer Science or a related field.</li><li><strong>Experience</strong> 10+ years in automation, QA, and/or software development, including experience managing and growing teams. Proven track record building and owning automation frameworks and delivering automation initiatives with measurable results. Experience in quality management and governance, ideally in regulated industries.</li><li><strong>Knowledge, Skills & Abilities</strong> Strong knowledge of automation tools such as UiPath, Selenium, Playwright, and n8n, and of CI/CD tooling. Hands-on with Java, Python, and JavaScript, and good knowledge of SQL. Real experience applying AI and GenAI to automation, across both testing and business processes. Strong grasp of Agile methodologies and tools such as Jira and Azure DevOps. Strong understanding of regulatory requirements for highly regulated industries, and excellent communication and leadership.</li><li><strong>Preferences</strong> Quality certifications such as ISTQB, CSTE, CSQA, CAST, or CMSQ. Six Sigma certification (Green or Black Belt). Certification or experience with Camunda or other BPMN tools.</li></ul>
<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 electrical 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>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</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 electrical 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>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</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 statistics 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 statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in statistics 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>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</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 $39 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 statistics 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 statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in statistics 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>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</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 $39 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 Mechanical 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>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</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 Mechanical 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>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</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 chemistry problems that simulate real chemistry research workflows;</li>
<li>Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries);</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 physical chemistry, quantum chemistry, and molecular modeling;</li>
<li>Base problems on real research challenges or practical applications from chemistry practice;</li>
<li>Verify solutions using Python with standard computational chemistry approaches;</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 chemistry specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in chemistry 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 in chemistry;</li>
<li>Familiarity with computational chemistry concepts and methods;</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 chemistry problems that simulate real chemistry research workflows;</li>
<li>Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries);</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 physical chemistry, quantum chemistry, and molecular modeling;</li>
<li>Base problems on real research challenges or practical applications from chemistry practice;</li>
<li>Verify solutions using Python with standard computational chemistry approaches;</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 chemistry specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in chemistry 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 in chemistry;</li>
<li>Familiarity with computational chemistry concepts and methods;</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>