Kitchen Design Jobs in Jordan

<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 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 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>Two or more 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>Two or more 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"> <p><b>Job Description Summary</b></p><br><br>Drives field performance and execution excellence for assigned Therapeutic Areas (TAs) or functions by shaping field execution models, orchestrating of the International Commercial Excellence (ICE) frameworks at country level, performance frameworks, and go-to-market (GTM) field approaches. The role acts as the primary Field Excellence interface for TA, Sales, and Value &amp; Access (V&amp;A) leadership, ensuring alignment between brand strategy, access strategy, and field execution. It ensures consistent application of International Field Excellence standards while allowing for country specific execution needs. The role coordinates Field Excellence resources supporting the TA/function and represents field considerations in planning and review forums.<br><p><b>Job Description</b></p><br><br><p><b>Act as the primary Field Excellence interface for the TA / function</b></p><br><br><ul><li>Serve as the main Field Excellence interface for Therapeutic Area leadership, TA Sales Heads, and Value &amp; Access Strategy and Access Field Leads.</li><li>Represent Field Excellence in TA and Access Field planning and performance reviews, ensuring field implications are clearly understood.</li><li>Prioritize Field Excellence supporting activities based on TA and Access Field strategic importance and performance needs.</li><li>Fieldwork involves shadowing reps, analyzing field performance, validating call quality, and aligning CRM practice.</li></ul><br><p><b>Own field execution design choices for the TA / function</b></p><br><br><ul><li>Ensure field execution models are aligned with Brand strategy, Go-To-Market plans, Access strategy</li><li>Translate strategic intent into clear field execution direction, defining:&nbsp;<ul><li>What the field should focus on</li><li>How success is measured</li><li>Where prioritization trade-offs are required</li></ul></li><li>Propose an effective sales organization structure and optimal size of the sales force and of Value &amp; Access stakeholders facing field team, based on internal and external benchmarks data (supported by IDS+ input).</li><li>Propose FF sizing scenarios, comparison and recommendations based on synergy between existing targets, benchmark data and launch priorities</li></ul><p><b>Shape and steer Go-To-Market field models</b></p><br><br><ul><li>Support new launch GTM design and implementation, in line with International and Regional guidance.</li><li>Shape discussions on launch field setups, field prioritization, and resourcing trade-offs (from a strategic perspective)</li><li>Implement the guidance on HCP tiering from International and assign tiers to the HCP customer base, building on inputs from country TA</li><li>Guardrail ICE segmentation – ensure segmentation process is revisited before cycle meetings using VIP and funnel analytics input</li><li>Partner with CRM &amp; field system owners for implementation support</li></ul><p><b>Steer field KPIs and effectiveness metrics</b></p><br><br><ul><li>Implement and align field commercial and functional KPIs with International and local brand strategy.</li><li>Incorporate ICE KPIs to ensure consistency across commercial execution.</li><li>Oversee commercial KPIs &amp; V&amp;A field metrics, including field force effectiveness assessments (e.g. STEM), review reports and analyze commercial and V&amp;A field data and derive performance, metrics insights &amp; shape possible action plans for functional heads considerations and decisions.</li><li>Maintain key healthcare decision makers and targets lists. Review, report and analyze Access account/field data</li></ul><p><b>Shape and steer Field incentives models</b></p><br><br><ul><li>Lead incentive scheme design, modelling payout scenarios, based on strategic priorities and historical results. Manage field incentives operations&nbsp;</li><li>Prepare individual quotas from the national target based on territory potential&nbsp;<br>Consult with TA Sales Head and FLMs on deviation, territory amendment</li><li>Measure field force performance/execution, incentives advisory, incentive diagnostics&nbsp;</li><li>Partner with CRM &amp; field system owners for implementation support</li></ul><p><b>Manage territory design and alignment operations</b></p><br><br><ul><li>Own territory design and alignment processes, ensuring operational accuracy and execution feasibility.</li><li>Lead creation and revision of territory maps, rep placement analytics, call plan generation and refinement (IDS+, Zaidyn)</li><li>Ensure territory changes are fully implemented in systems, in partnership with CRM and field system owners.</li><li>Apply ICE segmentation and targeting inputs to territory operations, as defined by international standards.</li></ul><p><b>Operates and manages the country CRM (Customer Relationship Management) platforms</b></p><br><br><ul><li>Operate the CRM platforms such as Veeva, Oncore, etc. day-to-day, ensuring availability, performance monitoring, and business continuity for field and function execution.</li><li>Configure CRM objects, workflows, and standard features based on validated cross-functional business requirements, aligned to International templates, data models, and governance frameworks.</li><li>Coordinate incident triage and resolution with DDIT (Data, Digital and IT) and external vendors, documenting recurring issues and workarounds.</li><li>Manage CRM releases and upgrades locally (planning, testing, communication, deployment support), coordinating dependencies with DDIT and vendors.</li><li>Manage country adoption of Customer Engagement of the Future (CEFUT), aligned with international priorities, standards, and platform roadmaps.</li><li>Safeguard CRM data capture processes needed to support consistent, Commercial, V&amp;A and MA execution, ensuring accurate and complete recording of interactions and accounts.</li><li>Monitor data quality and correct usage, escalating systemic issues to relevant owners (e.g., data standards) and proposing corrective actions (training, validation rules, guidance).&nbsp;</li></ul><br><p><b>ICE deployment orchestration</b></p><br><br><ul><li>Design &amp; execute customer journeys across channels, integrating CRM, SFMC, &amp; rep-triggered tools</li></ul><p><b>Content activation &amp; Channel orchestration (including OMC-OCE/customer experience journeys)</b></p><br><br><ul><li>Ensure content is activated and ready to be used on FF tech platforms in Oncore CRM to increase usage of iCVA</li><li>Ensure customer journeys are validated and aligned with content use</li><li>Develop omnichannel excellence by providing implementation guidance and channel upskilling – use of SFMC (orchestration, iCVA usage), aligned with Int’l OC teams based on ICE framework</li><li>Overseen tagging, FUSE uploading and MLR processes and ensure standards of execution</li><li>Ensure content is activated on SFMC and ready to be used on field technological platforms</li><li>Provide customer journey insight to continuously improve customer engagement</li><li>Support multichannel engagement orchestration with Access accounts (e.g. RTE, etc.)</li><li>Support in activating 'not promo' contents (developed by V&amp;A) across diff channels for payers &amp; accounts</li><li>Enable patients and payers multichannel insights, incl enabling Access Field to provide and capture reimbursement pathway insights (regional/country V&amp;A field inputs), and enable analysis and reporting.</li></ul><p><b>One-Brand-Plan rhythm &amp; orchestration</b></p><br><br><ul><li>Ensure process (strategy is realized) happens and orchestrated locally</li><li>Co-define execution metrics and KPIs</li></ul><br><p><b>Skills Desired</b></p><br><br>Analytical Thinking, Brand Awareness, Business Analytics, Cross-Functional Collaboration, Digital Marketing, Media Campaigns, Project Management, Project Planning, Sales, Stakeholder Engagement, Stakeholder Management, Waterfall Model<br> </div>

<p>We are seeking a Business Planning Consultant to support in delivering high-quality business planning and marketing strategy services to Small and Medium Enterprises (SMEs). The role focuses on research, analysis, and execution support, contributing to the development of business plans and growth strategies that help SMEs scale effectively.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>5-7 years of experience.</li><li>Demonstrated experience developing business plans and marketing strategies for SMEs in Jordan.</li><li>Bachelor s degree in Business Administration, Finance, Marketing, Economics, or a related field</li><li>Proven experience in human resources areas such as: organizational design, learning &amp; development, policies &amp; procedures development, performance management, or related areas.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are seeking a talented Backend Engineer to join our dynamic team focused on developing robust Platform APIs. In this role, you will be at the forefront of our technology initiatives, crafting scalable and efficient backend solutions that drive our platforms forward. As a Backend Engineer, you will work closely with cross-functional teams to ensure seamless integration of various components, enhancing the user experience and overall functionality of our services.</p><p>At our company, we believe in fostering a culture of continuous learning and growth. You will have the opportunity to work with cutting-edge technologies and participate in training programs designed to enhance your skills. Our collaborative environment encourages innovation, allowing you to contribute your ideas and solutions to real-world challenges. You will be supported by a team of experienced professionals who are committed to your development and success.</p><p>As you grow within our organization, you will have the chance to take on greater responsibilities and lead projects that have a significant impact on our business strategy. Your contributions will not only shape our product offerings but also influence the direction of our technology roadmap. We are excited to welcome a passionate engineer who is eager to make a difference and advance their career in a thriving tech environment.</p><p><b>Responsibilities:</b></p><ol><li>Design and implement scalable APIs that support various applications, utilizing programming languages such as Python or Java, ensuring high performance and responsiveness.</li><li>Collaborate with frontend developers to integrate user-facing elements with server-side logic, enhancing the overall application functionality and user experience.</li><li>Conduct code reviews and provide constructive feedback to peers, fostering a culture of quality and continuous improvement within the engineering team.</li><li>Monitor and optimize application performance, identifying bottlenecks and implementing solutions to enhance speed and efficiency across the platform.</li><li>Participate in the full software development lifecycle, from requirements gathering to deployment, ensuring timely delivery of high-quality software solutions.</li><li>Develop and maintain comprehensive documentation for APIs, ensuring clear communication of functionalities and usage to both internal teams and external partners.</li><li>Implement security measures to safeguard data and applications, adhering to industry standards and best practices to protect user information.</li><li>Engage in troubleshooting and debugging processes, swiftly resolving issues to maintain system stability and reliability.</li><li>Stay current with emerging technologies and industry trends, continuously seeking ways to innovate and improve backend processes and system architecture.</li></ol> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Proficiency in backend programming languages such as Python, Java, or Node.js is essential for developing robust applications.</li><li>Experience with RESTful API design and implementation to ensure seamless communication between services.</li><li>Strong understanding of database management systems, including SQL and NoSQL, for efficient data storage and retrieval.</li><li>Familiarity with cloud services like AWS or Azure to deploy and manage applications in scalable environments.</li><li>Knowledge of containerization technologies such as Docker for creating isolated environments for application deployment.</li><li>Ability to implement security best practices to protect sensitive data and ensure compliance with industry regulations.</li><li>Strong problem-solving skills and the ability to work collaboratively within a team to deliver high-quality software solutions.</li></ul></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are seeking a dynamic Full Stack Engineer to join our innovative team in Amman. This role is perfect for those who are passionate about both front-end and back-end development, as you will be working on a variety of projects that drive our business forward. As a Full Stack Engineer, you will have the opportunity to work with cutting-edge technologies and contribute to the development of robust web applications that enhance user experience and engagement.</p><p>At our company, we foster a culture of collaboration and continuous learning. You will work alongside a talented group of professionals who are committed to sharing knowledge and supporting each other’s growth. We believe in nurturing talent and providing our employees with the resources they need to advance their careers. Whether you are looking to deepen your technical expertise or explore leadership opportunities, we are dedicated to helping you achieve your professional aspirations.</p><p>In this role, you will play a crucial part in shaping the future of our products. Your contributions will not only impact our immediate projects but also influence our long-term technology strategy. We are excited to welcome someone who is eager to tackle challenges, innovate solutions, and contribute to a forward-thinking environment. Join us, and let’s build amazing things together!</p><p><b>Responsibilities:</b></p><ol><li>Design, develop, and maintain scalable web applications using modern frameworks and languages, ensuring high performance and responsiveness to requests from the front-end.</li><li>Collaborate with UX/UI designers to implement user-friendly interfaces, focusing on optimizing the user experience through thoughtful design and functionality.</li><li>Write clean, maintainable, and well-documented code, utilizing best practices to ensure the longevity and reliability of software solutions.</li><li>Participate in code reviews, providing constructive feedback and suggestions to improve code quality and foster a culture of continuous improvement within the team.</li><li>Integrate third-party APIs and services into existing applications, enhancing functionality and user experience while ensuring security and performance standards are met.</li><li>Debug and troubleshoot issues across the stack, employing analytical skills and debugging tools to identify and resolve problems effectively.</li><li>Stay updated with emerging technologies and industry trends, applying this knowledge to enhance our development processes and product offerings.</li><li>Contribute to team planning and project management discussions, helping to define project scope, timelines, and deliverables to meet business objectives.</li><li>Mentor junior developers, sharing your expertise and guiding them in best practices, fostering a supportive environment for professional growth.</li></ol> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Proficiency in JavaScript, HTML, and CSS for building responsive web applications.</li><li>Experience with modern front-end frameworks such as React, Angular, or Vue.js.</li><li>Strong knowledge of back-end technologies like Node.js, Python, or Ruby on Rails.</li><li>Familiarity with databases, both SQL and NoSQL, and understanding of data modeling concepts.</li><li>Ability to work with version control systems, particularly Git, for collaborative development.</li><li>Understanding of RESTful APIs and microservices architecture for seamless integration.</li><li>Strong problem-solving skills and the ability to work independently as well as part of a team.</li></ul></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are seeking a talented Backend Engineer to join our dynamic team focused on developing robust Platform APIs. In this role, you will be at the forefront of our technology initiatives, crafting scalable and efficient backend solutions that drive our platforms forward. As a Backend Engineer, you will work closely with cross-functional teams to ensure seamless integration of various components, enhancing the user experience and overall functionality of our services.</p><p>At our company, we believe in fostering a culture of continuous learning and growth. You will have the opportunity to work with cutting-edge technologies and participate in training programs designed to enhance your skills. Our collaborative environment encourages innovation, allowing you to contribute your ideas and solutions to real-world challenges. You will be supported by a team of experienced professionals who are committed to your development and success.</p><p>As you grow within our organization, you will have the chance to take on greater responsibilities and lead projects that have a significant impact on our business strategy. Your contributions will not only shape our product offerings but also influence the direction of our technology roadmap. We are excited to welcome a passionate engineer who is eager to make a difference and advance their career in a thriving tech environment.</p><p><b>Responsibilities:</b></p><ol><li>Design and implement scalable APIs that support various applications, utilizing programming languages such as Python or Java, ensuring high performance and responsiveness.</li><li>Collaborate with frontend developers to integrate user-facing elements with server-side logic, enhancing the overall application functionality and user experience.</li><li>Conduct code reviews and provide constructive feedback to peers, fostering a culture of quality and continuous improvement within the engineering team.</li><li>Monitor and optimize application performance, identifying bottlenecks and implementing solutions to enhance speed and efficiency across the platform.</li><li>Participate in the full software development lifecycle, from requirements gathering to deployment, ensuring timely delivery of high-quality software solutions.</li><li>Develop and maintain comprehensive documentation for APIs, ensuring clear communication of functionalities and usage to both internal teams and external partners.</li><li>Implement security measures to safeguard data and applications, adhering to industry standards and best practices to protect user information.</li><li>Engage in troubleshooting and debugging processes, swiftly resolving issues to maintain system stability and reliability.</li><li>Stay current with emerging technologies and industry trends, continuously seeking ways to innovate and improve backend processes and system architecture.</li></ol> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Proficiency in backend programming languages such as Python, Java, or Node.js is essential for developing robust applications.</li><li>Experience with RESTful API design and implementation to ensure seamless communication between services.</li><li>Strong understanding of database management systems, including SQL and NoSQL, for efficient data storage and retrieval.</li><li>Familiarity with cloud services like AWS or Azure to deploy and manage applications in scalable environments.</li><li>Knowledge of containerization technologies such as Docker for creating isolated environments for application deployment.</li><li>Ability to implement security best practices to protect sensitive data and ensure compliance with industry regulations.</li><li>Strong problem-solving skills and the ability to work collaboratively within a team to deliver high-quality software solutions.</li></ul></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are seeking a talented Product Engineer specializing in Frontend development to join our innovative team in Amman, Jordan. In this role, you will have the opportunity to work on cutting-edge projects that impact our clients and enhance user experiences. As a Product Engineer, you will play a key role in designing and implementing user-friendly interfaces, ensuring that our products not only meet but exceed industry standards. This position is perfect for those looking to make a significant impact in a dynamic environment.</p><p>At our company, we prioritize career growth and continuous learning. You will have access to various training programs and mentorship opportunities that will help you hone your skills and advance your career. Collaborating with a diverse team of professionals, you will be encouraged to share ideas and contribute to the innovative culture that drives our success. We believe in fostering an environment where creativity thrives, and every team member can contribute to our mission.</p><p>As you take on the responsibilities of a Product Engineer, you will be instrumental in shaping the future of our products. The role offers the potential for career progression into senior positions, where you can lead projects and influence strategic decisions. If you are passionate about technology and eager to grow within a supportive and forward-thinking organization, we invite you to apply and embark on this exciting journey with us.</p><p><b>Responsibilities:</b></p><ol><li>Design and develop responsive user interfaces for web applications using HTML, CSS, and JavaScript, ensuring optimal performance and user experience.</li><li>Collaborate with UX/UI designers to translate wireframes and prototypes into functional code, utilizing tools such as Figma and Adobe XD.</li><li>Implement best practices for frontend development, including code reviews and version control with Git, to maintain high code quality and consistency.</li><li>Work closely with backend developers to integrate APIs and ensure seamless data flow between the frontend and backend systems.</li><li>Conduct performance testing and optimization of web applications using tools like Lighthouse and Google PageSpeed Insights to enhance load times and user satisfaction.</li><li>Participate in Agile development processes, attending daily stand-ups and sprint planning meetings to contribute to project timelines and deliverables.</li><li>Stay updated with the latest industry trends and emerging technologies, sharing insights with the team to foster innovation and continuous improvement.</li><li>Assist in troubleshooting and debugging frontend issues, providing timely resolutions to enhance overall application functionality.</li><li>Mentor junior developers and interns, sharing knowledge and best practices to cultivate a collaborative learning environment.</li></ol> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Proficiency in HTML, CSS, and JavaScript for frontend development.</li><li>Experience with modern frameworks such as React, Angular, or Vue.js.</li><li>Strong understanding of responsive design principles and mobile-first development.</li><li>Familiarity with version control systems, particularly Git.</li><li>Knowledge of performance optimization techniques for web applications.</li><li>Ability to collaborate effectively with cross-functional teams, including designers and backend developers.</li><li>Strong problem-solving skills and a proactive approach to troubleshooting issues.</li></ul></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><span><b><u><span>About the Job</span></u></b></span><br></span><p><span>As a </span><b><span>Senior Performance Engineer </span></b><span> at Aspire, you will design, execute, and analyze performance tests to ensure applications can handle expected workloads and meet performance, scalability, and reliability requirements. You will be an integral part of our company’s product development process. Our ideal candidate will be responsible for identifying performance bottlenecks, analyzing system behavior under different workloads, and ensuring applications meet client performance expectations before production releases.</span><br></p><br><span><span><u>What You Will Do</u></span></span><br><ul><li><span>Review and comprehend User Stories, technical requirements, and performance requirements for the assigned projects.</span><br></li><li><span>Work with development, QA, infrastructure, and business teams to understand application architecture and identify performance testing requirements.</span><br></li><li><span>Define performance testing strategies, scenarios, workloads, and acceptance criteria based on business and technical requirements.</span><br></li><li><span>Design, develop, execute, and maintain performance test scripts and scenarios using Tricentis NeoLoad or similar performance testing tools.</span><br></li><li><span>Perform different types of performance testing, including load, stress, endurance, scalability, and volume testing.</span><br></li><li><span>Analyze performance test results and identify bottlenecks related to application, database, API, infrastructure, or network performance.</span><br></li><li><span>Monitor system behavior and key performance indicators during test execution.</span><br></li><li><span>Collaborate with development and technical teams to investigate performance issues and support root-cause analysis.</span><br></li><li><span>Prepare performance test reports and provide clear findings, recommendations, and improvement areas to the client.</span><br></li><li><span>Ensure performance testing is completed within the agreed timelines and project requirements.</span><br></li><li><span>Develop and maintain performance testing plans and support performance validation before production releases.</span><br></li><li><span>Continuously improve performance testing processes, tools, and methodologies.</span><br></li></ul><span><span><u>What You Will Need</u></span></span><br><ul><li><span>Bachelor’s Degree in Computer Science, Software Engineering, or a similar field.</span><br></li><li><span>Minimum of 4 years of experience in software testing, with significant hands-on experience in performance testing.</span><br></li><li><span>Strong hands-on experience with performance testing tools, preferably Tricentis NeoLoad.</span><br></li><li><span>Experience designing and executing load, stress, endurance, scalability, and volume tests.</span><br></li><li><span>Strong understanding of performance testing concepts, workload modelling, test planning, and performance analysis.</span><br></li><li><span>Experience with Web and API performance testing.</span><br></li><li><span>Strong understanding of REST APIs and HTTP protocols.</span><br></li><li><span>Experience analyzing performance test results and identifying application and infrastructure bottlenecks.</span><br></li><li><span>Experience with database performance testing and SQL is preferred.</span><br></li><li><span>Experience with monitoring and performance analysis tools is preferred.</span><br></li><li><span>Ability to understand and analyze complex software requirements and technical specifications.</span><br></li><li><span>Experience working in Agile/Scrum environments.</span><br></li><li><span>Strong analytical, troubleshooting, and problem-solving skills.</span><br></li><li><span>Good communication skills and the ability to present technical findings clearly to clients and stakeholders.</span><br></li><li><span>Awareness or knowledge of IT security best practices as defined by ISO/SOC or similar standards.</span><br></li></ul><span><u><span>Why Aspire</span></u></span><br><ul><li><span>Be part of a (Remote is here-to-stay) organization</span><br></li><li><span>Work and learn from great minds</span><br></li><li><span>Explore new opportunities to learn and grow every day by attending technical and nontechnical training</span><br></li><li><span>Get market exposure by working with international tech leaders</span><br></li><li><span>Nursery reimbursement benefit</span><br></li><li><span>Attend virtual and onsite international tech conferences</span><br></li><li><span>Exposure to work in an IT environment that adheres to rigorous security and compliance standards defined by ISO / SOC</span><br></li></ul><br> </div>

<p><h4>Description</h4> <p>At Syarah, we are building the future of automotive e-commerce in the region, and data sits at the core of every decision we make. We are looking for a data lead to own and evolve our entire data ecosystem across engineering, analytics, data science, and AI.</p> <p>This is a hands-on leadership role where you will architect scalable data systems, lead a high-performing team, and act as the analytical voice of the business—proactively identifying insights, risks, and opportunities that drive growth across our e-commerce and payments platforms.</p> <p>You will design and govern Syarah’s end-to-end data platform on GCP, unify data from product, payments, ERP, and operations, and ensure all business decisions are powered by accurate, real-time, and trusted data.</p> <p>You will also build AI-powered internal tools, lead data DevOps practices, and transform complex data into clear executive-level insights that shape strategy.</p> <h4>Key responsibilities</h4> <ul> <li>Lead and mentor a cross-functional data team (engineering, analytics, data science)</li> <li>Architect and manage Syarah’s data platform on GCP (BigQuery, Cloud Run, Dataform)</li> <li>Design scalable ETL pipelines and unified star schema data models</li> <li>Integrate ERPNext and other operational systems into centralized data architecture</li> <li>Build and deploy containerized services using Docker on Cloud Run</li> <li>Develop and maintain Flask REST APIs for secure data sharing</li> <li>Own data DevOps, including CI/CD pipelines and infrastructure management</li> <li>Orchestrate workflows using Apache Airflow</li> <li>Integrate and govern Adjust (mobile attribution) and Mixpanel (product analytics) into a unified data lake</li> <li>Ensure reliable event tracking, identity resolution, and funnel analytics across platforms</li> <li>Build unified product, payments, and financial data models enabling revenue reconciliation and performance tracking</li> <li>Deliver proactive insights: identify trends, anomalies, and risks before they are requested</li> <li>Translate data into executive-level business decisions and recommendations</li> <li>Define KPI frameworks and build trusted data products for finance, operations, and product teams</li> <li>Ensure data accuracy, reliability, and availability through monitoring, alerts, and SLA standards</li> <li>Develop internal AI tools using LLMs and prompt engineering to improve productivity and automation</li> </ul> <h4>Requirements</h4> <ul> <li>7+ years of experience in data engineering, analytics, or data platform roles</li> <li>Proven experience in a data leadership or senior technical role</li> <li>Strong expertise in GCP data stack (BigQuery, Cloud Run, Dataform)</li> <li>Advanced proficiency in Python and SQL</li> <li>Solid experience building and scaling data pipelines and ETL architectures</li> <li>Experience with API development (Flask or similar frameworks)</li> <li>Hands-on experience with Airflow or other workflow orchestration tools</li> <li>Strong knowledge of product analytics and mobile attribution tools (e.g., Mixpanel, Adjust)</li> <li>Experience working with ERP systems (ERPNext or similar) is a plus</li> <li>Strong understanding of data modeling, KPI frameworks, and business intelligence</li> <li>Experience in building or leading data teams</li> <li>Strong business acumen with ability to translate data into actionable insights</li> <li>Experience with CI/CD, Docker, and cloud infrastructure management</li> <li>Exposure to AI/ML tools or LLM-based automation is a strong plus</li> <li>Excellent communication skills and ability to work closely with executive leadership</li> </ul></p><p></p>

<p><h4>Description</h4> <p>At Syarah, we are building the future of automotive e-commerce in the region, and data sits at the core of every decision we make. We are looking for a data lead to own and evolve our entire data ecosystem across engineering, analytics, data science, and AI.</p> <p>This is a hands-on leadership role where you will architect scalable data systems, lead a high-performing team, and act as the analytical voice of the business—proactively identifying insights, risks, and opportunities that drive growth across our e-commerce and payments platforms.</p> <p>You will design and govern Syarah’s end-to-end data platform on GCP, unify data from product, payments, ERP, and operations, and ensure all business decisions are powered by accurate, real-time, and trusted data.</p> <p>You will also build AI-powered internal tools, lead data DevOps practices, and transform complex data into clear executive-level insights that shape strategy.</p> <h4>Key responsibilities</h4> <ul> <li>Lead and mentor a cross-functional data team (engineering, analytics, data science)</li> <li>Architect and manage Syarah’s data platform on GCP (BigQuery, Cloud Run, Dataform)</li> <li>Design scalable ETL pipelines and unified star schema data models</li> <li>Integrate ERPNext and other operational systems into centralized data architecture</li> <li>Build and deploy containerized services using Docker on Cloud Run</li> <li>Develop and maintain Flask REST APIs for secure data sharing</li> <li>Own data DevOps, including CI/CD pipelines and infrastructure management</li> <li>Orchestrate workflows using Apache Airflow</li> <li>Integrate and govern Adjust (mobile attribution) and Mixpanel (product analytics) into a unified data lake</li> <li>Ensure reliable event tracking, identity resolution, and funnel analytics across platforms</li> <li>Build unified product, payments, and financial data models enabling revenue reconciliation and performance tracking</li> <li>Deliver proactive insights: identify trends, anomalies, and risks before they are requested</li> <li>Translate data into executive-level business decisions and recommendations</li> <li>Define KPI frameworks and build trusted data products for finance, operations, and product teams</li> <li>Ensure data accuracy, reliability, and availability through monitoring, alerts, and SLA standards</li> <li>Develop internal AI tools using LLMs and prompt engineering to improve productivity and automation</li> </ul> <h4>Requirements</h4> <ul> <li>7+ years of experience in data engineering, analytics, or data platform roles</li> <li>Proven experience in a data leadership or senior technical role</li> <li>Strong expertise in GCP data stack (BigQuery, Cloud Run, Dataform)</li> <li>Advanced proficiency in Python and SQL</li> <li>Solid experience building and scaling data pipelines and ETL architectures</li> <li>Experience with API development (Flask or similar frameworks)</li> <li>Hands-on experience with Airflow or other workflow orchestration tools</li> <li>Strong knowledge of product analytics and mobile attribution tools (e.g., Mixpanel, Adjust)</li> <li>Experience working with ERP systems (ERPNext or similar) is a plus</li> <li>Strong understanding of data modeling, KPI frameworks, and business intelligence</li> <li>Experience in building or leading data teams</li> <li>Strong business acumen with ability to translate data into actionable insights</li> <li>Experience with CI/CD, Docker, and cloud infrastructure management</li> <li>Exposure to AI/ML tools or LLM-based automation is a strong plus</li> <li>Excellent communication skills and ability to work closely with executive leadership</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p> <p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p> <p>We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p> <p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p> <p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p> <p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p> <h4>Who we’re looking for</h4> <p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p> <ul> <li>Structuring ambiguous client problems into workable analytical plans</li> <li>Building financial models, market analyses, or synthesized findings from messy inputs</li> <li>Producing client-ready deliverables under time pressure</li> <li>Forming and defending recommendations under uncertainty</li> </ul> <p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p> <h4>What you’ll do</h4> <ul> <li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li> <li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li> <li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li> </ul> <p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p> <h4>Skills & requirements</h4> <ul> <li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li> <li>Strong structured problem-solving and hypothesis-driven thinking</li> <li>Ability to translate vague problems into clear analytical steps and deliverables</li> <li>High attention to logical consistency and output quality</li> <li>Independent, self-directed working style</li> <li>Clear written English (B2+)</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p> <p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p> <p>We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p> <p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p> <p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p> <p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p> <h4>Who we’re looking for</h4> <p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p> <ul> <li>Structuring ambiguous client problems into workable analytical plans</li> <li>Building financial models, market analyses, or synthesized findings from messy inputs</li> <li>Producing client-ready deliverables under time pressure</li> <li>Forming and defending recommendations under uncertainty</li> </ul> <p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p> <h4>What you’ll do</h4> <ul> <li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li> <li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li> <li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li> </ul> <p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p> <h4>Skills & requirements</h4> <ul> <li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li> <li>Strong structured problem-solving and hypothesis-driven thinking</li> <li>Ability to translate vague problems into clear analytical steps and deliverables</li> <li>High attention to logical consistency and output quality</li> <li>Independent, self-directed working style</li> <li>Clear written English (B2+)</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p> <p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p> <p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p> <p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p> <h4>Who we’re looking for</h4> <p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p> <ul> <li>Structuring ambiguous client problems into workable analytical plans</li> <li>Building financial models, market analyses, or synthesized findings from messy inputs</li> <li>Producing client-ready deliverables under time pressure</li> <li>Forming and defending recommendations under uncertainty</li> </ul> <p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p> <h4>What you’ll do</h4> <ul> <li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li> <li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li> <li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li> </ul> <p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p> <h4>Skills & requirements</h4> <ul> <li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li> <li>Strong structured problem-solving and hypothesis-driven thinking</li> <li>Ability to translate vague problems into clear analytical steps and deliverables</li> <li>High attention to logical consistency and output quality</li> <li>Independent, self-directed working style</li> <li>Clear written English (B2+)</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p> <p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p> <p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p> <p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p> <h4>Who we’re looking for</h4> <p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p> <ul> <li>Structuring ambiguous client problems into workable analytical plans</li> <li>Building financial models, market analyses, or synthesized findings from messy inputs</li> <li>Producing client-ready deliverables under time pressure</li> <li>Forming and defending recommendations under uncertainty</li> </ul> <p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p> <h4>What you’ll do</h4> <ul> <li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li> <li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li> <li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li> </ul> <p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p> <h4>Skills & requirements</h4> <ul> <li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li> <li>Strong structured problem-solving and hypothesis-driven thinking</li> <li>Ability to translate vague problems into clear analytical steps and deliverables</li> <li>High attention to logical consistency and output quality</li> <li>Independent, self-directed working style</li> <li>Clear written English (B2+)</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> <strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p> <h4>Who we’re looking for</h4> <p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p> <ul> <li>Structuring ambiguous client problems into workable analytical plans</li> <li>Building financial models, market analyses, or synthesized findings from messy inputs</li> <li>Producing client-ready deliverables under time pressure</li> <li>Forming and defending recommendations under uncertainty</li> </ul> <p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p> <h4>What you’ll do</h4> <ul> <li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li> <li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li> <li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li> </ul> <p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p> <h4>Skills & requirements</h4> <ul> <li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li> <li>Strong structured problem-solving and hypothesis-driven thinking</li> <li>Ability to translate vague problems into clear analytical steps and deliverables</li> <li>High attention to logical consistency and output quality</li> <li>Independent, self-directed working style</li> <li>Clear written English (B2+)</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> <strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p> <h4>Who we’re looking for</h4> <p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p> <ul> <li>Structuring ambiguous client problems into workable analytical plans</li> <li>Building financial models, market analyses, or synthesized findings from messy inputs</li> <li>Producing client-ready deliverables under time pressure</li> <li>Forming and defending recommendations under uncertainty</li> </ul> <p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p> <h4>What you’ll do</h4> <ul> <li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li> <li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li> <li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li> </ul> <p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p> <h4>Skills & requirements</h4> <ul> <li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li> <li>Strong structured problem-solving and hypothesis-driven thinking</li> <li>Ability to translate vague problems into clear analytical steps and deliverables</li> <li>High attention to logical consistency and output quality</li> <li>Independent, self-directed working style</li> <li>Clear written English (B2+)</li> </ul></p><p></p>