Embedded Systems Engineer Jobs in Lebanon

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Outsourcing Advantage is a boutique business process outsourcing (BPO) firm specializing in back-office and customer service support for US-based businesses.<br> We are seeking highly organized and proactive Administrative Assistants, Executive Assistants and Gneral VAs to join our talent pool.<br> In this role, you will support business leaders with administrative tasks, calendar management, communication, and day-to-day operations while ensuring efficiency and professionalism.<br> Key responsibilities include: Manage calendars, appointments, and meetings.<br> Coordinate emails and business correspondence.<br> Prepare reports, presentations, and documents.<br> Organize files and maintain accurate records.<br> Handle data entry and CRM updates.<br> Coordinate travel arrangements when required.<br> Support project management and operational tasks.<br> Perform general administrative duties.<br> Opportunity to work on diverse and exciting projects.<br> Supportive and collaborative work environment.<br> Weekly payments.<br> Weekends off.<br> Growth opportunities.<br> 2+ years of administrative or executive assistant experience.<br> Excellent English communication skills.<br> Strong organizational and time management skills.<br> Proficiency with Microsoft Office and Google Workspace.<br> Experience with calendars, scheduling, and email management.<br> Ability to multitask and work independently.<br> Proficiency with project management tools such as Asana, Trello, ClickUp, Monday.<br>com, or similar platforms.<br> Preferred Qualifications: Bachelor's degree in Business Administration, Communications, or a related field (preferred but not required).<br> Experience supporting executives, business owners, or senior leadership.<br> Experience working remotely with U.<br>S.-based companies or international teams.<br> Familiarity with CRM systems (HubSpot, Salesforce, Zoho, or similar).<br> Experience preparing reports, presentations, and meeting minutes.<br> Strong problem-solving skills with the ability to anticipate needs and work independently.<br> Experience coordinating travel arrangements and managing expense reports.<br> Familiarity with AI productivity tools such as ChatGPT, Claude, or Microsoft Copilot.<br> Ability to adapt quickly to new software and changing priorities.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><b>Job Summary:<br><br></b> <br>The General Manager is the highest-ranking operational authority within the club. This is not an operational execution role it is a strategic leadership role responsible for the overall performance, culture, growth, and profitability of the club.<br><br> <br>The General Manager leads a team of department heads and managers, owns the club's P&amp;L, drives the long-term vision of the business alongside ownership, and ensures that every function of the gym from member experience to financial performance operates at the standard FitLife demands.<br><br> <br>The ideal candidate is a seasoned leader who has built and led high-performing teams, managed a business unit's financial performance, and understands the full lifecycle of a service-driven fitness or hospitality operation. They bring authority, clarity, and commercial intelligence to every decision they make.<br><br> <br>I. Strategic Leadership &amp; Business Ownership<br><br> Act as the actual leader of the club, making decisions that align with the owner's vision and the business's short and long-term goals.<br><br> Own the club's financial performance including revenue, cost control, margin management, and profitability and report directly to ownership with full transparency.<br><br> Drive the club's strategic planning cycle: setting annual goals, defining quarterly priorities, identifying growth opportunities, and executing against a clear business roadmap.<br><br> Benchmark the club's performance against industry standards and competitors identifying market gaps, positioning opportunities, and service differentiators.<br><br> Lead the development and continuous improvement of all business systems, processes, and standards across every department.<br><br> Make high-stakes decisions with speed and confidence escalating to ownership only when truly necessary, and presenting problems alongside proposed solutions.<br><br> <br>II. People Leadership &amp; Organizational Development<br><br> Lead, develop, and hold accountable a team of department managers and senior staff.<br><br> Build a management team capable of operating autonomously and at a high standard; develop successors and internal talent systematically.<br><br> Set the cultural tone of the organization establishing expectations around accountability, performance, professionalism, and member-centricity that cascade through every level of the team.<br><br> Drive the club's recruitment strategy at the management level, ensuring the right people are in the right roles at all times.<br><br> Oversee performance management across all departments ensuring evaluations, feedback cycles, and development plans are executed consistently and fairly.<br><br> Identify structural weaknesses in the organization and proactively redesign roles, responsibilities, or team structures to address them.<br><br> <br>III. Financial Performance &amp; P&amp;L Ownership<br><br> Own the club's full P&amp;L understanding the drivers of revenue and cost across all departments and taking accountability for financial results.<br><br> Set, monitor, and act on financial KPIs including membership revenue, PT revenue, cafeteria performance, cost per acquisition, retention rates, and EBITDA contribution.<br><br> Approve budgets, significant expenditures, and investment decisions ensuring every major spend is justified by a clear business case.<br><br> Partner with the Bookkeeper and Operations Manager to maintain financial accuracy, clean records, and timely reporting.<br><br> Identify revenue growth opportunities across existing and new service lines packages, partnerships, corporate memberships, events, and ancillary revenue.<br><br> Proactively manage cost without compromising quality finding efficiencies across staffing, procurement, and operations.<br><br> <br>IV. Membership Growth &amp; Commercial Strategy<br><br> Own the club's membership growth strategy setting acquisition targets, defining the sales approach, and ensuring the sales team executes against a clear commercial plan.<br><br> Monitor and act on conversion rates, churn, lifetime value, and engagement metrics to continuously improve the membership lifecycle.<br><br> Design and oversee retention strategies that build long-term member loyalty going beyond reactive complaint handling to proactive engagement.<br><br> Oversee the positioning and packaging of all services (PT, classes, wellness, cafeteria) to maximize both member value and commercial return.<br><br> Stay closely connected to the member experience using data, feedback, and direct insight to identify what drives satisfaction, loyalty, and referral.<br><br> <br>V. Operational Excellence &amp; Standards<br><br> Set the operational standards for every department and hold department heads accountable for maintaining them.<br><br> Establish and enforce non-negotiable standards across member experience, facility condition, health and safety, and team conduct.<br><br> Review operational performance reports, KPI dashboards, and system data regularly identifying trends, anomalies, and areas requiring intervention.<br><br> Ensure all compliance obligations are met including operational licenses, in</div></section>

Job Summary: <br> <br>The General Manager is the highest-ranking operational authority within the club. This is not an operational execution role — it is a strategic leadership role responsible for the overall performance, culture, growth, and profitability of the club. <br> <br>The General Manager leads a team of department heads and managers, owns the club's P&L, drives the long-term vision of the business alongside ownership, and ensures that every function of the gym — from member experience to financial performance — operates at the standard FitLife demands. <br> <br>The ideal candidate is a seasoned leader who has built and led high-performing teams, managed a business unit's financial performance, and understands the full lifecycle of a service-driven fitness or hospitality operation. They bring authority, clarity, and commercial intelligence to every decision they make. <br> <br>I. Strategic Leadership & Business Ownership <br>• Act as the actual leader of the club, making decisions that align with the owner's vision and the business's short and long-term goals. <br>• Own the club's financial performance — including revenue, cost control, margin management, and profitability — and report directly to ownership with full transparency. <br>• Drive the club's strategic planning cycle: setting annual goals, defining quarterly priorities, identifying growth opportunities, and executing against a clear business roadmap. <br>• Benchmark the club's performance against industry standards and competitors — identifying market gaps, positioning opportunities, and service differentiators. <br>• Lead the development and continuous improvement of all business systems, processes, and standards across every department. <br>• Make high-stakes decisions with speed and confidence — escalating to ownership only when truly necessary, and presenting problems alongside proposed solutions. <br> <br>II. People Leadership & Organizational Development <br>• Lead, develop, and hold accountable a team of department managers and senior staff. <br>• Build a management team capable of operating autonomously and at a high standard; develop successors and internal talent systematically. <br>• Set the cultural tone of the organization — establishing expectations around accountability, performance, professionalism, and member-centricity that cascade through every level of the team. <br>• Drive the club's recruitment strategy at the management level, ensuring the right people are in the right roles at all times. <br>• Oversee performance management across all departments — ensuring evaluations, feedback cycles, and development plans are executed consistently and fairly. <br>• Identify structural weaknesses in the organization and proactively redesign roles, responsibilities, or team structures to address them. <br> <br>III. Financial Performance & P&L Ownership <br>• Own the club's full P&L — understanding the drivers of revenue and cost across all departments and taking accountability for financial results. <br>• Set, monitor, and act on financial KPIs including membership revenue, PT revenue, cafeteria performance, cost per acquisition, retention rates, and EBITDA contribution. <br>• Approve budgets, significant expenditures, and investment decisions — ensuring every major spend is justified by a clear business case. <br>• Partner with the Bookkeeper and Operations Manager to maintain financial accuracy, clean records, and timely reporting. <br>• Identify revenue growth opportunities across existing and new service lines — packages, partnerships, corporate memberships, events, and ancillary revenue. <br>• Proactively manage cost without compromising quality — finding efficiencies across staffing, procurement, and operations. <br> <br>IV. Membership Growth & Commercial Strategy <br>• Own the club's membership growth strategy — setting acquisition targets, defining the sales approach, and ensuring the sales team executes against a clear commercial plan. <br>• Monitor and act on conversion rates, churn, lifetime value, and engagement metrics to continuously improve the membership lifecycle. <br>• Design and oversee retention strategies that build long-term member loyalty — going beyond reactive complaint handling to proactive engagement. <br>• Oversee the positioning and packaging of all services (PT, classes, wellness, cafeteria) to maximize both member value and commercial return. <br>• Stay closely connected to the member experience — using data, feedback, and direct insight to identify what drives satisfaction, loyalty, and referral. <br> <br>V. Operational Excellence & Standards <br>• Set the operational standards for every department and hold department heads accountable for maintaining them. <br>• Establish and enforce non-negotiable standards across member experience, facility condition, health and safety, and team conduct. <br>• Review operational performance reports, KPI dashboards, and system data regularly — identifying trends, anomalies, and areas requiring intervention. <br>• Ensure all compliance obligations are met including operational licenses, in

Working Hours: Monday till Friday from 9:00 am till 6:00 pm <br> <br>Location: Head Office – Zalka <br> <br>Scope of the job: <br>The Back Office Unit Agent is responsible for managing data entry, processing internal documentation, and tracking all products at Mike Sport, ensuring smooth backend processes and maintaining timely and accurate updates across systems. <br> <br>Key Responsibilities: <br> <br>Administrative & Data Management: <br>- Coordinate closely with the buying team to set the Price Structure of all received collections <br>- Ensure accurate update of Price Structure Excel sheet, by checking full description about every single item (Barcode, Gender, Color, Size, Cost, etc.) <br>- Perform the item creation process on the system (Navision) in order to be shared with the concerned parties <br>- Execute price changes & discounts of items on the system, upon the request of the Manager <br>- Liaise with the logistics team in order to set the Purchase Order before receiving any shipment <br>- Liaise with the E-Commerce team and provide them with administrative support to maintain an updated platform by sharing the price structure of the selected items <br>- Ensure the accuracy of data entries by identifying discrepancies, maintaining clean and up-to-date records <br>- Support the induction of new team members by facilitating training, ensuring a smooth handover process, and verifying the comprehensive transfer of knowledge and responsibilities <br>- Maintain proper filing and record-keeping for audits and compliance purposes <br> <br>Inventory & Order processing: <br>- Conduct Transfer Orders in coordination with the buying team, ensuring that the warehouse department can proceed with the distribution process of goods to our branches <br>- Prepare Sales Orders in coordination with the buying team in case of international shipments <br>- Receive the defective items list from the branches and report it to the buying team to take corrective actions <br>- Assist the Inventory Department with stock reconciliation and cycle counts <br>- Ensure timely and accurate processing of invoices, purchase orders, and vendor documentation <br>- Liaise with Accounting, Logistics, and Commercial teams to resolve discrepancies and maintain seamless operational alignment <br> <br>Reporting: <br>- Prepare regular reports such as sales, stock, and order status <br>- Generate a report tracking all items received, sold, transferred, or returned across various stores and warehouses <br>- Monitor order fulfillment status, such as transfers, pending, shipped, or canceled, to support timely and accurate processing <br>- Perform other duties that are aligned & related to the job scope <br> <br>Job Requirements: <br>- Education: Bachelor's Degree in Business Administration <br>- Experience: 1 to 3 years of experience in data management <br>- Linguistic Skills: Advanced in written & spoken English & Arabic, French is a plus <br>- Computer Skills: Extensive knowledge of MS Office

<p>Job Scope The Lead specialist - Credit is accountable for applying the company's credit and collection policies and practices while implementing internal control systems. S/He analyses customer requests for credit, minimizes the company's credit risk and maintains the highest level of customer service while coordinating with other departments in resolving issues. Main Duties and Responsibilities - Assist in managing the company's financial wellbeing by ensuring compliance, effective risk management and accurate financial reporting; - Define and evaluate the credit limits for all customers based on their audited financial statements, asset values, and assessments of new and existing customers; - Comply with the reporting timelines and adverse information notification to the insurance company; - Anticipate outstanding receivables based on sales forecasts, payment terms, backlog, and input from the sales team; - Reconcile accounts receivable, resolve discrepancies, and achieve periodic cash collection targets; - Coordinate with internal departments to resolve unpaid debts and oversee legal actions and related settlements when required; - Approve the credit line for customer accounts within the approved insurance limit; - Manage and streamline LC transactions and ensure the compliance of LC/BG T&amp;C and timely closure of LC/BG payments from banks with minimized financial costs and eliminated risks; - Build strong relationships with customers through regular visits, account management, and collection of financial information for credit reviews; - Ensure the timely processing and follow up of outstanding invoices; - Respond promptly to audit requests (internal audit, bank audit, etc.); - Ensure the receipt of customer balance confirmations on a bi-annual basis; - Prepare periodic MIS and data management reports to the Direct Manager.</p><p><strong>Desired Candidate Profile</strong></p><p>Education Bachelor s degree in Finance, Accounting or any other related field Experience 8+ years of progressive experience in Credit Management, Credit &amp; Collections, or Accounts Receivable. Proven experience managing regional/multi-country credit and collections operations within a multinational or complex business environment. Strong hands-on experience in credit risk assessment, credit limits, payment terms, and customer exposure management. Demonstrated experience setting, reviewing, negotiating, and standardizing credit terms and commercial conditions, in partnership with Sales and Finance. Proven ability to influence commercial decisions, challenge credit exposure, and implement regional credit policies and governance. #LI-LM1</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Title <br></span><p>Lead Specialist - Credit</p><br><br><br>Job Scope <br><p>The Lead specialist - Credit is accountable for applying the company's&nbsp;credit&nbsp;and collection policies and practices while implementing internal control systems. S/He analyses customer requests for&nbsp;credit, minimizes the company's credit risk and maintains the highest level of customer service while coordinating with other departments in resolving issues.&nbsp;</p><br><br><br>Main Duties and Responsibilities <br><p>- Assist in managing the company's financial wellbeing by ensuring compliance, effective risk management and accurate financial reporting;</p><br> <p>- Define and evaluate the credit limits for all customers based on their audited financial statements, asset values, and assessments of new and existing customers;</p><br> <p>- Comply with the reporting timelines and adverse information notification to the insurance company;</p><br> <p>- Anticipate outstanding receivables based on sales forecasts, payment terms, backlog, and input from the sales team;</p><br> <p>- Reconcile accounts receivable, resolve discrepancies, and achieve periodic cash collection targets;</p><br> <p>- Coordinate with internal departments to resolve unpaid debts and oversee legal actions and related settlements when required;</p><br> <p>- Approve the credit line for customer accounts within the approved insurance limit;</p><br> <p>- Manage and streamline LC transactions and ensure the compliance of LC/BG T&amp;C and timely closure of LC/BG payments from banks with minimized financial costs and eliminated risks;</p><br> <p>- Build strong relationships with customers through regular visits, account management, and collection of financial information for credit reviews;</p><br> <p>- Ensure the timely processing and follow up of outstanding invoices;</p><br> <p>- Respond promptly to audit requests (internal audit, bank audit, etc.);</p><br> <p>- Ensure the receipt of customer balance confirmations on a bi-annual basis;</p><br> <p>- Prepare periodic MIS and data management reports to the Direct Manager.</p><br> <br><br>Position Requirements <br><br>Education <br><p>Bachelor’s degree in Finance, Accounting or any other related field</p><br><br><br>Experience <br><p>8+ years of progressive experience in Credit Management, Credit &amp; Collections, or Accounts Receivable.<br>Proven experience managing regional/multi-country credit and collections operations within a multinational or complex business environment.<br>Strong hands-on experience in credit risk assessment, credit limits, payment terms, and customer exposure management.<br>Demonstrated experience setting, reviewing, negotiating, and standardizing credit terms and commercial conditions, in partnership with Sales and Finance.<br>Proven ability to influence commercial decisions, challenge credit exposure, and implement regional credit policies and governance.<br></p><br> <p>#LI-LM1</p><br><br><br><br> </div>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li> <li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li> <li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li> <li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li> <li>3+ years of mortgage, lending, real estate, or financial services experience;</li> <li>Current or recent experience in underwriting and origination or adjacent roles;</li> <li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li> <li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply. Pass qualification(s). Join a project. Complete tasks. Get paid.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li> <li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li> <li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li> <li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li> <li>3+ years of mortgage, lending, real estate, or financial services experience;</li> <li>Current or recent experience in underwriting and origination or adjacent roles;</li> <li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li> <li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply. Pass qualification(s). Join a project. Complete tasks. Get paid.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated 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>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li> <li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li> <li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li> <li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li> <li>3+ years of mortgage, lending, real estate, or financial services experience;</li> <li>Current or recent experience in underwriting & origination or adjacent roles;</li> <li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li> <li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li> <li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li> <li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li> <li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li> <li>3+ years of mortgage, lending, real estate, or financial services experience;</li> <li>Current or recent experience in underwriting & origination or adjacent roles;</li> <li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li> <li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>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>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li> <li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li> <li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li> <li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li> <li>3+ years of mortgage, lending, real estate, or financial services experience;</li> <li>Current or recent experience in underwriting and origination or adjacent roles;</li> <li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li> <li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li> <li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li> <li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li> <li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li> <li>3+ years of mortgage, lending, real estate, or financial services experience;</li> <li>Current or recent experience in underwriting and origination or adjacent roles;</li> <li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li> <li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance); Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E; Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance; Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field; 3+ years of of mortgage, lending, real estate, or financial services experience; Current or recent experience in underwriting &amp; origination or adjacent roles; Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1; Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design and evaluate Quarterly Business Review scenarios — performance vs.<br> benchmark, allocation drift against IPS tolerance bands, and material fund document changes; Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs.<br> long-term capital gains, and wash-sale rule application; Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's Investment Policy Statement; Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks; Document test cases clearly with verified calculations, policy citations, and correct answers.<br> What we look for 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.<br> Ideally, contributors will have: Degree in Finance, Economics, Business Administration, Accounting, Mathematics, Statistics, or any related field; 2+ years of finance, investment, accounting, or financial services experience; Current or recent experience in advisory &amp; management or adjacent roles; 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; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>