وظائف مهندس تصميم ميكانيكي في لبنان

About the Employer <br>The Employer is a leading ERP implementation partner in Lebanon, delivering tailored business solutions to clients across various industries. Their mission is to help organizations streamline operations, improve efficiency, and achieve sustainable growth through world-class ERP systems. <br> <br>Job Summary <br>We are seeking an ERP Functional Consultant with proven experience in ERP implementation to join our Client’s dynamic team. The ideal candidate will act as the bridge between the Employer’s clients’ business needs and the Employer’s technical team, ensuring the successful delivery of customized ERP solutions. <br> <br>Key responsibilities <br>• Requirement Gathering: Meet with clients to understand their business processes, needs, and pain points. <br>• Business Process Analysis: Map client requirements to the ERP’s functionalities and identify gaps. <br>• Solution Design: Configure the ERP modules to align with client business workflows. <br>• Implementation: Lead module setup, testing, and deployment across multiple departments. <br>• Training & Support: Provide end-user training and prepare documentation/user manuals. <br>• Project Coordination: Work closely with technical developers to ensure timely and accurate customization. <br>• Testing & Validation: Conduct functional testing, UAT, and system validation before go-live. <br>• Client Relationship Management: Serve as the primary functional contact throughout the project lifecycle. <br>• Post-Go-Live Support: Provide ongoing assistance and process optimization guidance. <br>Required skills & qualifications <br>• Bachelor’s degree in Business Administration, Accounting, Finance, Industrial Engineering, Information Systems, or related field. <br>• Minimum 2–3 years of experience in ERP implementation (Odoo experience is highly preferred). <br>• Strong understanding of business processes in one or more of the following areas: Accounting, Inventory, Sales, Purchasing, Manufacturing, HR, or CRM. <br>• Excellent analytical, problem-solving, and process-mapping skills. <br>• Proficiency in both English and Arabic; French is a plus. <br>• Strong communication and presentation abilities. <br>• Ability to work independently and as part of a team under tight deadlines. <br>Preferred Skills <br>• Hands-on experience with Odoo Community or Enterprise editions. <br>• Knowledge of database concepts and basic understanding of Python (for functional-technical discussions). <br>• PMP, Agile, or other project management methodology exposure. <br>• Prior work experience with an Odoo partner or ERP consulting firm in Lebanon or the region

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance;</li> <li>Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness;</li> <li>Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral;</li> <li>Build subrogation test cases applying state-specific negligence rules (comparative vs. contributory) and assess likelihood of recovery;</li> <li>Document test cases clearly with correct answers, policy citations, and payout calculations.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field;</li> <li>3+ years of insurance, claims, legal, or financial services experience;</li> <li>Current or recent experience in claims and adjusting or adjacent roles;</li> <li>Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture;</li> <li>AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance;</li> <li>Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness;</li> <li>Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral;</li> <li>Build subrogation test cases applying state-specific negligence rules (comparative vs. contributory) and assess likelihood of recovery;</li> <li>Document test cases clearly with correct answers, policy citations, and payout calculations.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field;</li> <li>3+ years of insurance, claims, legal, or financial services experience;</li> <li>Current or recent experience in claims and adjusting or adjacent roles;</li> <li>Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture;</li> <li>AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance;</li> <li>Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness;</li> <li>Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral;</li> <li>Build subrogation test cases applying state-specific negligence rules (comparative vs. contributory) and assess likelihood of recovery;</li> <li>Document test cases clearly with correct answers, policy citations, and payout calculations.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field;</li> <li>3+ years of insurance, claims, legal, or financial services experience;</li> <li>Current or recent experience in claims and adjusting or adjacent roles;</li> <li>Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture;</li> <li>AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance;</li> <li>Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness;</li> <li>Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral;</li> <li>Build subrogation test cases applying state-specific negligence rules (comparative vs. contributory) and assess likelihood of recovery;</li> <li>Document test cases clearly with correct answers, policy citations, and payout calculations.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field;</li> <li>3+ years of insurance, claims, legal, or financial services experience;</li> <li>Current or recent experience in claims and adjusting or adjacent roles;</li> <li>Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture;</li> <li>AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design and evaluate quarterly business review scenarios — performance vs. benchmark, allocation drift against IPS tolerance bands, and material fund document changes;</li> <li>Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs. long-term capital gains, and wash-sale rule application;</li> <li>Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's investment policy statement;</li> <li>Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks;</li> <li>Document test cases clearly with verified calculations, policy citations, and correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in finance, economics, business administration, accounting, mathematics, statistics, or any related field;</li> <li>2+ years of finance, investment, accounting, or financial services experience;</li> <li>Current or recent experience in advisory and management or adjacent roles;</li> <li>Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and investment policy statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design and evaluate Quarterly Business Review scenarios — performance vs. benchmark, allocation drift against IPS tolerance bands, and material fund document changes;</li> <li>Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs. long-term capital gains, and wash-sale rule application;</li> <li>Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's Investment Policy Statement;</li> <li>Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks;</li> <li>Document test cases clearly with verified calculations, policy citations, and correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in finance, economics, business administration, accounting, mathematics, statistics, or any related field;</li> <li>2+ years of finance, investment, accounting, or financial services experience;</li> <li>Current or recent experience in advisory and management or adjacent roles;</li> <li>Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and Investment Policy Statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance;</li> <li>Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness;</li> <li>Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral;</li> <li>Build subrogation test cases applying state-specific negligence rules (comparative vs. contributory) and assess likelihood of recovery;</li> <li>Document test cases clearly with correct answers, policy citations, and payout calculations.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field;</li> <li>3+ years of insurance, claims, legal, or financial services experience;</li> <li>Current or recent experience in claims and adjusting or adjacent roles;</li> <li>Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture;</li> <li>AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance;</li> <li>Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness;</li> <li>Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral;</li> <li>Build subrogation test cases applying state-specific negligence rules (comparative vs. contributory) and assess likelihood of recovery;</li> <li>Document test cases clearly with correct answers, policy citations, and payout calculations.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field;</li> <li>3+ years of insurance, claims, legal, or financial services experience;</li> <li>Current or recent experience in claims and adjusting or adjacent roles;</li> <li>Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture;</li> <li>AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

We are looking for an experienced Senior Technical Learning & Development Specialist to design and deliver technical training, conduct assessments and audits, and ensure high standards of employee performance and service quality across branches. <br> <br>Key Responsibilities: <br>* Deliver technical, theoretical and practical training <br>* Conduct assessments, audits and follow-up coaching <br>* Ensure compliance with SOPs, protocols and safety standards <br>* Train employees on treatments, equipment, products and consultation techniques <br>* Identify training needs and develop improvement plans <br>* Monitor employee performance and provide corrective training <br>* Support new treatment, technology and service launches <br>* Prepare training reports and performance data <br>* Travel to branches as required <br> <br>Requirements: <br>* Diploma or bachelor’s degree in Aesthetics, Cosmetology, Medical, Paramedical or related field <br>* 3–5 years of relevant experience in technical training or aesthetic/medical practice <br>* Experience in training, assessments and audits <br>* Fluent in English & Arabic <br>* Willingness to travel

<p>Assess the current HR organisation, processes, tools and capabilities across the Group. Conduct a diagnostic of the existing HR model and identify key gaps and priorities. Define the Group HR strategy and roadmap through 2030 . Design the appropriate Group HR operating model, organisation and governance structure . Clarify roles and responsibilities between Group, countries, business units and subsidiaries. Develop a Group-wide framework for talent management and high-potential identification . Establish succession planning and leadership pipeline frameworks. Develop Group approaches to performance management and compensation . Define recruitment, internal mobility and career development frameworks. Develop approaches to leadership development, learning and capability building. Recommend appropriate HR technology, systems and digitalisation initiatives. Help define and reinforce Group culture, values and leadership principles . Establish relevant HR KPIs, dashboards and management reporting. Benchmark the Group's HR organisation and practices against relevant African and international groups. Prioritise initiatives and establish a practical implementation roadmap. Phase 2 u2013 Implementation &amp; Knowledge Transfer Following the development of the HR strategy and roadmap, the consultant will support the Group in progressively implementing the proposed model. Key responsibilities will include: Supporting the implementation of the Group HR operating model and governance. Accompanying the existing HR leadership and teams in deploying new processes, tools and frameworks. Supporting the implementation of talent, succession, performance and compensation initiatives. Coaching and transferring knowledge to the internal HR team. Supporting the development of the next generation of Group HR leadership. Monitoring implementation progress and recommending adjustments where required. Ensuring that the Group develops the internal capabilities necessary to independently manage and evolve the HR function over the long term.</p><p><strong>Desired Candidate Profile</strong></p><p>We are looking for a very senior HR transformation professional with a strong track record of designing and implementing HR models within complex organisations. The ideal candidate will have: 15+ years of senior HR / HR transformation experience . Previous experience as a Group CHRO, CHRO, Group HR Director, HR Transformation Director, senior HR consultant or equivalent . Proven experience in designing or transforming Group-level HR functions . Experience working with large, multi-country organisations , ideally across Africa and/or emerging markets. Strong experience in HR operating models, governance and organisational design. Demonstrated expertise in talent management, succession planning, performance management and leadership development. Strong understanding of compensation and reward frameworks. Experience developing HR strategies and translating them into practical implementation roadmaps. Experience leading or supporting significant HR transformation and change programmes. Strong understanding of HR technology and digital transformation. Ability to operate comfortably with Group-level executives, business leaders and senior HR professionals . Strong facilitation, influencing and stakeholder-management skills. A pragmatic, hands-on approach, with the ability to move from strategy and diagnosis to implementation. Excellent communication and presentation skills. Fluent in Arabic, French and English , with the ability to work effectively with senior stakeholders across Francophone and international environments.</p><p>Particular consideration will be given to candidates who have: Worked with African groups operating across multiple countries and subsidiaries . Designed HR operating models for diversified or family-owned groups. Worked with organisations undergoing rapid growth, geographic expansion or governance transformation. Successfully built Group HR functions where HR previously operated primarily at business-unit or country level. Experience coaching internal HR leaders and transferring capabilities rather than remaining solely in an advisory capacity.</p>

<p>Join our team as a Data Analyst/Scientist to turn complex datasets into clear, actionable insights that drive measurable business improvements. You'll partner with stakeholders to design analyses, build predictive models, and deliver automated reporting that supports day-to-day and strategic decision-making.</p><p>Job Purpose The purpose of this role is to analyze data, build reliable data pipelines and predictive models, and communicate results through dashboards and stakeholder-ready reporting improving KPIs through data-driven recommendations with measurable impact.</p><p>Job Duties and Responsibilities</p><ul><li>SQL</li><li>Python (pandas, scikit-learn)</li><li>Data visualization (Tableau/Power BI)</li><li>ETL data pipelines</li><li>Statistics and experimentation (A/B testing)</li><li>Analytical thinking</li><li>Problem-solving</li><li>Attention to detail</li><li>Ownership and continuous improvement</li><li>Stakeholder communication</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>SQL</li><li>Python (pandas, scikit-learn)</li><li>Data visualization (Tableau/Power BI)</li><li>Statistics and experimentation (A/B testing)</li><li>ETL data pipelines</li><li>Analytical thinking</li><li>Problem-solving</li><li>Stakeholder communication</li><li>Attention to detail</li><li>Ownership and continuous improvement</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>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.<br> 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.<br> 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> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> 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 &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> 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.<br> 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.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> For this project, tasks are estimated to require around 25-30 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br></span> </div>

<p><strong>Job Summary :</strong> We are seeking a highly experienced Senior Site Fit-Out Architect with 10 15 years of experience in fit-out projects to join our construction team.</p><p>The successful candidate will be responsible for overseeing architectural fit-out works on site, coordinating with project teams, consultants, subcontractors, and suppliers, and ensuring that works are executed in accordance with approved drawings, specifications, quality standards, project schedules, and safety requirements.</p><p><strong>Key Responsibilities:</strong></p><p><strong>Site &amp; Fit-Out Management</strong></p><ul><li>Supervise and manage all architectural and interior fit-out works on site.</li><li>Ensure that works are executed according to approved drawings, specifications, method statements, and project requirements.</li><li>Monitor daily site activities and ensure proper sequencing and coordination of works.</li><li>Review construction details and resolve technical and architectural issues arising on site.</li><li>Ensure proper execution of finishes, ceilings, partitions, flooring, doors, joinery, cladding, painting, and other architectural works.</li><li>Monitor workmanship and ensure compliance with required quality standards.</li><li>Coordinate inspections and ensure timely rectification of defects and outstanding works.</li></ul><p><strong>Drawings &amp; Technical Coordination</strong></p><ul><li>Review architectural, interior design, shop drawings, and construction drawings.</li><li>Coordinate architectural works with structural, MEP, electrical, and other disciplines.</li><li>Review and coordinate subcontractor/shop drawings and material submissions.</li><li>Identify discrepancies and design conflicts and coordinate their resolution with consultants and the project team.</li><li>Assist in preparing and reviewing RFIs, technical submittals, and site instructions.</li><li>Ensure that the latest approved drawings and documents are being used on site.</li></ul><p><strong>Project Coordination</strong></p><ul><li>Coordinate closely with the Project Manager, Site Engineers, consultants, subcontractors, and suppliers.</li><li>Attend site meetings and technical coordination meetings as required.</li><li>Follow up on project progress and identify potential delays or technical issues.</li><li>Coordinate with procurement and subcontractors to ensure materials and works are available as required by the project schedule.</li><li>Support the Project Manager in achieving project milestones and completion targets.</li></ul><p><strong>Quality Control</strong></p><ul><li>Ensure architectural works comply with project specifications, approved materials, and quality standards.</li><li>Conduct regular site inspections and monitor the quality of finishing works.</li><li>Prepare and follow up on snagging and de-snagging activities.</li><li>Ensure proper mock-ups and samples are approved before mass execution.</li><li>Assist in maintaining project quality records and documentation.</li></ul><p><strong>Site Documentation &amp; Reporting</strong></p><ul><li>Prepare daily/weekly progress reports related to architectural and fit-out activities.</li><li>Maintain records of inspections, approvals, RFIs, drawings, material submissions, and site instructions.</li><li>Monitor quantities and progress of fit-out works and report discrepancies when required.</li><li>Assist with project handover documentation and as-built requirements.</li></ul><p><strong>Health &amp; Safety</strong></p><ul><li>Ensure that fit-out activities are carried out in accordance with the company's health and safety requirements.</li><li>Coordinate with the HSE team to identify and address site risks.</li><li>Ensure subcontractors and workers comply with site safety procedures.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Architecture from a recognized university.</p><p>10 15 years of professional experience, with significant experience in fit-out, interior, commercial, residential, hospitality, or similar construction projects.</p><p>Proven experience working in a construction/contracting company and managing architectural works on site.</p><p>Strong knowledge of construction methods, architectural finishes, and fit-out execution.</p><p>Strong ability to read and interpret architectural, structural, MEP, and shop drawings.</p><p>Experience in coordinating subcontractors and multiple project disciplines.</p><p>Experience in project handover, snagging, and defect management.</p><p>Strong knowledge of construction specifications, materials, and quality requirements.</p><p>Experience with AutoCAD is required; knowledge of Revit and/or other BIM software is an advantage.</p><p>Good knowledge of Microsoft Office, particularly Excel and Word.</p>

<p><h4>Toloka AI and Mindrift Overview</h4> <p><strong>Toloka AI</strong> supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> <strong>Mindrift</strong>, 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> <h4>About the Role</h4> <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> <h4>Important</h4> <p>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> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.<br> 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.<br> For this project, tasks are estimated to require around 25-30 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. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>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.<br> 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.<br> 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> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> 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 &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> 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.<br> 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.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> For this project, tasks are estimated to require around 25-30 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br></span> </div>

<p><h4>Toloka AI supports frontier model post-training</h4> <p>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> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 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>For this project, tasks are estimated to require around 25-30 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. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.</p></p><p></p>

<p><br></p><p><b>Responsibilities</b></p><ul><li>Supports the design and development of learning programmes and curricula including supporting in organizing and conducting occupational and competency analyses within their area of specialization, drafting programme profiles, learning guides and manuals, assessing and integrating new and emerging technologies into the subject specializations, and assisting in integrating career guidance and counselling in the learning programmes.</li><li>Facilitates the delivery of the school-based and work-based learning programmes assigned to them including designing and preparing training venues, identifying and proper utilizing of the facilities and equipment, selecting the trainees, developing inclusive training (lessons) plans, facilitating and managing learning in classrooms, laboratories, workshops, and workplaces, employing adult learning strategies including integrating trainees with disabilities and special learning needs, and mainstreaming Occupational Health and Safety (OSH) and core skills for life and work in the learning delivery.</li><li>Designs student assessments both formative and summative assessments, practice-based and knowledge-based skills tests; Develops assessment sheets, grids and inclusive skills assessment implementation plans including assessment of core skills and Occupational Safety and Health (OSH); Conducts knowledge and practice-based assessments and tests according to the assessment implementation plan.</li><li>Builds linkages with employers, workers, and TVET instructors in their specialisations; Collects and utilises available labour market information (LMI) for their training courses; supports conducting and analysing skills needs and anticipation assessments, employers surveys, trainees and graduate trace studies to identify skills gaps, needs, and mismatches for their learning programmes.</li><li>Applies quality assurance tools and processes across the training cycle of their training courses according to UNRWA TVET Quality Assurance Framework.</li><li>Supports TVET greening and digitalization initiatives and activities; Designs and implements green and digital learning programmes; Integrates green and digital skills into their training courses; Develops and facilitates synchronous and asynchronous training sessions.</li><li>Collaborates with other instructors and staff members in coordinating the teaching and learning process, keeping respectful environment at the Centre, maintaining order and discipline in the Centre, and implementing well-organized co-curricular activities, supporting the design and implementation of the Occupational Health and Safety (OSH) measures and tools and reports on incidents and risks in the Centre.</li><li>Performs such other duties as may be assigned</li></ul><p>Competencies</p>UN Core Values of Integrity, Professionalism and Respect for Diversity, and Core Competencies of Communication, Working with People and Drive for Results apply by default. Following Instructions and Procedures Relating and Networking Creating and Innovating Applying Technical Expertise Planning and Organizing<p><strong>Desired Candidate Profile</strong></p><p>Education A university degree of four years from an accredited educational institution in an approved course of study with major specialization in the field of subject taught.</p><p>Job - Specific Qualification Not available.</p><p>Work Experience No experience at this entry level of TVET Instructor (Engineering Drawing) - grade 11, is required.</p><p>Applicants are required to mention if they have close relative(s) in UNRWA (mother, father, daughter, son, sister brother), please provide full name(s) and relationship. If applicable, please provide further details below.</p><p>Applicants are required to mention if they are a Palestine refugee. If yes, please provide you Registration Card Number</p><p>Candidates are required to make a declaration as to whether they have any current or past affiliations with non-governmental organisations, academic institutions, political organisations, military, or have/are engaged in activities or have made any public statements, that could be seen to impact their neutrality, objectivity or independence in the performance of their duties for the UN / UNRWA. Any declaration will not necessarily disqualify candidates from consideration for this post</p><p><br></p>