Embedded Systems Engineer Jobs in Lebanon
2529 Jobs Found
Mike Sport
Lebanon
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
Lebanon - Mount Lebanon
<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&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 & 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>
Lebanon
<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 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. </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&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 & 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>
Lebanon - Mount Lebanon
<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>
Lebanon - Mount Lebanon
<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>
Lebanon - Mount Lebanon
<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>
Lebanon - Mount Lebanon
<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>
Lebanon - Mount Lebanon
<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>
Lebanon - Mount Lebanon
<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>
Lebanon - Mount Lebanon
<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>
Lebanon - Mount Lebanon
<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>
Lebanon - Mount Lebanon
<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>
Lebanon - Mount Lebanon
<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>
Lebanon - Mount Lebanon
<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>
Lebanon - Mount Lebanon
<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>
Lebanon
<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 & 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>
Lebanon
<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 & 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>
Lebanon
<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 auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance; Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness; Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral; Build subrogation test cases applying state-specific negligence rules (comparative vs.<br> contributory) and assess likelihood of recovery; Document test cases clearly with correct answers, policy citations, and payout calculations.<br> What we look for 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.<br> Ideally, contributors will have: Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field; 3+ years of insurance, claims, legal, or financial services experience; Current or recent experience in claims & adjusting or adjacent roles; Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture; AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid; 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>
Lebanon
<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 & 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>
Lebanon
<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 auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance; Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness; Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral; Build subrogation test cases applying state-specific negligence rules (comparative vs.<br> contributory) and assess likelihood of recovery; Document test cases clearly with correct answers, policy citations, and payout calculations.<br> What we look for 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.<br> Ideally, contributors will have: Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field; 3+ years of insurance, claims, legal, or financial services experience; Current or recent experience in claims & adjusting or adjacent roles; Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture; AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid; 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>