Embedded Systems Engineer Jobs - Amman Jordan
1402 Jobs Found
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational chemistry problems that simulate real chemistry research workflows;</li>
<li>Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling;</li>
<li>Base problems on real research challenges or practical applications from chemistry practice;</li>
<li>Verify solutions using Python with standard computational chemistry approaches;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for chemistry specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in chemistry or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical methods in chemistry;</li>
<li>Familiarity with computational chemistry concepts and methods;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational chemistry problems that simulate real chemistry research workflows;</li>
<li>Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling;</li>
<li>Base problems on real research challenges or practical applications from chemistry practice;</li>
<li>Verify solutions using Python with standard computational chemistry approaches;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for chemistry specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in chemistry or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical methods in chemistry;</li>
<li>Familiarity with computational chemistry concepts and methods;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational statistics problems that simulate real mathematical research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li>
<li>Base problems on real research challenges or practical applications from mathematical practice;</li>
<li>Verify solutions using Python with standard mathematical libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in statistics or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational statistics problems that simulate real mathematical research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li>
<li>Base problems on real research challenges or practical applications from mathematical practice;</li>
<li>Verify solutions using Python with standard mathematical libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in statistics or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational mathematics problems that simulate real mathematical research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li>
<li>Base problems on real research challenges or practical applications from mathematical practice;</li>
<li>Verify solutions using Python with standard mathematical libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for mathematicians with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Mathematics (Pure or Applied) or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical methods and symbolic computation;</li>
<li>Ability to design problems that mirror real mathematical research workflows;</li>
<li>Familiarity with computational complexity theory;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational mathematics problems that simulate real mathematical research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li>
<li>Base problems on real research challenges or practical applications from mathematical practice;</li>
<li>Verify solutions using Python with standard mathematical libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for mathematicians with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Mathematics (Pure or Applied) or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical methods and symbolic computation;</li>
<li>Ability to design problems that mirror real mathematical research workflows;</li>
<li>Familiarity with computational complexity theory;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational physics problems that simulate real physics research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li>
<li>Base problems on real research challenges or practical applications from physics practice;</li>
<li>Verify solutions using Python with standard physics simulation libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for physicists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical simulation methods;</li>
<li>Ability to design problems that mirror real physics research workflows;</li>
<li>Creative thinking in problem design across diverse physics areas;</li>
<li>Familiarity with physics modeling and approximation techniques;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational statistics problems that simulate real mathematical research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li>
<li>Base problems on real research challenges or practical applications from mathematical practice;</li>
<li>Verify solutions using Python with standard mathematical libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in statistics or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>About TajHR</h4>
<p>TajHR is a growing HR consultancy serving clients across Jordan, Saudi Arabia, and the wider MENA region. We help organizations build high-performing teams through recruitment, HR outsourcing, and workforce solutions. We are looking for a results-driven sales professional who can identify opportunities, build strong client relationships, and drive business growth.</p>
<h4>Key Responsibilities</h4>
<ul>
<li>Own the full sales cycle from prospecting and outreach to proposal development, negotiation, and closing deals.</li>
<li>Identify and develop new business opportunities across multiple industries within the MENA region.</li>
<li>Build and maintain relationships with HR leaders, business owners, and senior decision-makers.</li>
<li>Present and promote TajHR's recruitment, HR outsourcing, and workforce solutions.</li>
<li>Develop strategic sales plans to achieve and exceed revenue targets.</li>
<li>Maintain an accurate sales pipeline and provide regular performance updates.</li>
<li>Collaborate closely with internal teams to ensure successful client onboarding and service delivery.</li>
<li>Lead, mentor, and support junior sales team members (for Team Lead candidates).</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>3–6 years of proven B2B sales experience.</li>
<li>Demonstrated success in selling professional services, consulting, HR solutions, staffing services, or SaaS products.</li>
<li>Strong experience managing the full sales cycle independently.</li>
<li>Excellent communication, negotiation, and presentation skills.</li>
<li>Strong understanding of the Jordanian and Saudi business markets.</li>
<li>Self-motivated and comfortable working in a fast-paced, entrepreneurial environment.</li>
<li>Based in Amman and willing to travel for business meetings and client visits.</li>
<li>Bachelor's degree in Business Administration, Marketing, Human Resources, or a related field.</li>
</ul>
<h4>Preferred Qualifications</h4>
<ul>
<li>Previous experience within recruitment, HR services, staffing, or workforce solutions.</li>
<li>Existing network of HR Directors, Operations Directors, business owners, or senior decision-makers in Jordan and Saudi Arabia.</li>
<li>Experience selling services to Saudi-based clients from Jordan.</li>
<li>Experience leading, coaching, or mentoring junior sales professionals.</li>
<li>Familiarity with CRM platforms such as HubSpot, Salesforce, Zoho, or similar systems.</li>
</ul>
<h4>What We Offer</h4>
<ul>
<li>Competitive base salary.</li>
<li>Attractive performance-based commission structure.</li>
<li>Opportunity to work directly with senior leadership.</li>
<li>Exposure to diverse industries and regional clients across the MENA market.</li>
<li>Career growth opportunities within a rapidly expanding consultancy.</li>
</ul></p><p></p>
Confidential
Jordan - Amman
<p><h4>About TajHR</h4>
<p>TajHR is a growing HR consultancy serving clients across Jordan, Saudi Arabia, and the wider MENA region. We help organizations build high-performing teams through recruitment, HR outsourcing, and workforce solutions. We are looking for a results-driven sales professional who can identify opportunities, build strong client relationships, and drive business growth.</p>
<h4>Key Responsibilities</h4>
<ul>
<li>Own the full sales cycle from prospecting and outreach to proposal development, negotiation, and closing deals.</li>
<li>Identify and develop new business opportunities across multiple industries within the MENA region.</li>
<li>Build and maintain relationships with HR leaders, business owners, and senior decision-makers.</li>
<li>Present and promote TajHR's recruitment, HR outsourcing, and workforce solutions.</li>
<li>Develop strategic sales plans to achieve and exceed revenue targets.</li>
<li>Maintain an accurate sales pipeline and provide regular performance updates.</li>
<li>Collaborate closely with internal teams to ensure successful client onboarding and service delivery.</li>
<li>Lead, mentor, and support junior sales team members (for Team Lead candidates).</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>3–6 years of proven B2B sales experience.</li>
<li>Demonstrated success in selling professional services, consulting, HR solutions, staffing services, or SaaS products.</li>
<li>Strong experience managing the full sales cycle independently.</li>
<li>Excellent communication, negotiation, and presentation skills.</li>
<li>Strong understanding of the Jordanian and Saudi business markets.</li>
<li>Self-motivated and comfortable working in a fast-paced, entrepreneurial environment.</li>
<li>Based in Amman and willing to travel for business meetings and client visits.</li>
<li>Bachelor's degree in Business Administration, Marketing, Human Resources, or a related field.</li>
</ul>
<h4>Preferred Qualifications</h4>
<ul>
<li>Previous experience within recruitment, HR services, staffing, or workforce solutions.</li>
<li>Existing network of HR Directors, Operations Directors, business owners, or senior decision-makers in Jordan and Saudi Arabia.</li>
<li>Experience selling services to Saudi-based clients from Jordan.</li>
<li>Experience leading, coaching, or mentoring junior sales professionals.</li>
<li>Familiarity with CRM platforms such as HubSpot, Salesforce, Zoho, or similar systems.</li>
</ul>
<h4>What We Offer</h4>
<ul>
<li>Competitive base salary.</li>
<li>Attractive performance-based commission structure.</li>
<li>Opportunity to work directly with senior leadership.</li>
<li>Exposure to diverse industries and regional clients across the MENA market.</li>
<li>Career growth opportunities within a rapidly expanding consultancy.</li>
</ul></p><p></p>
Confidential
Jordan - Amman
<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>
Confidential
Jordan - Amman
<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>
Confidential
Jordan - Amman
<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>
Confidential
Jordan - Amman
<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>
Confidential
Jordan - Amman
<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>
Confidential
Jordan - Amman
<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>
Confidential
Jordan - Amman
<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>
Confidential
Jordan - Amman
<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>
Confidential
Jordan - Amman
<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>
Confidential
Jordan - Amman
<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>