Document Controller
1125 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 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 biology problems that simulate real biology research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, BioPython);</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 bioinformatics, systems biology, and molecular modeling;</li>
<li>Base problems on real research challenges or practical applications from biology practice;</li>
<li>Verify solutions using Python with standard computational biology 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 biology specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in biology 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 biological data analysis and algorithms;</li>
<li>Familiarity with bioinformatics tools and computational 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 biology problems that simulate real biology research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, BioPython);</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 bioinformatics, systems biology, and molecular modeling;</li>
<li>Base problems on real research challenges or practical applications from biology practice;</li>
<li>Verify solutions using Python with standard computational biology 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 biology specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in biology 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 biological data analysis and algorithms;</li>
<li>Familiarity with bioinformatics tools and computational 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 engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Electrical Engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
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 optical engineers 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 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 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 optical engineers 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>Do you want to love what you do at work? Do you want to make a difference, an impact, and transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?</p>
<p>If yes, then this is the job you are looking for. Webook is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, and revenue, serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Analyze and mine business data to identify patterns and correlations among the various data points.</li>
<li>Map and trace data within the enterprise data framework in order to solve a given business or system problem.</li>
<li>Design and create marts to support the business intelligence tools and provide data to the end users in support of business decisions.</li>
<li>Perform statistical analysis of the enterprise data. Extract existing data to manipulate, calculate, and format into useful presentations.</li>
<li>Identify and explore opportunities to enhance enterprise analytical databases using knowledge gained from experience and from an understanding of emerging methodologies.</li>
<li>Create and document logical data integration (ETL) strategies for data flows between source/target systems and the Enterprise Data Warehouse.</li>
<li>Perform a variety of in-depth data analysis, data modeling, and data administration tasks on complicated datasets with potentially complex data integration scenarios with limited supervision.</li>
<li>Establish, maintain, adhere to, and enforce Enterprise Data modeling and Data Integration standards.</li>
<li>Support innovations by actively keeping technical and professional business knowledge current on emerging technology and data trends which may fit with enterprise needs. Must be able to research and accurately articulate benefits and goals of these technologies.</li>
</ul>
<h4>Requirements</h4>
<p>Bachelor's degree in Computer Science, Management Information Systems, or a related field.</p>
<p>Minimum of 4 years experience.</p>
<p>Overall experience in information systems; background experience in ETL processes, application development, report development, and data warehouse projects.</p>
<h4>Skills:</h4>
<ul>
<li>Proficient in English written and verbal communication skills.</li>
<li>Demonstrates excellent judgment and decision-making skills.</li>
<li>Demonstrated time management and priority setting skills.</li>
<li>Excellent organizational skills.</li>
<li>Possesses strong product knowledge.</li>
<li>Possesses strong technical aptitude.</li>
</ul></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Do you want to love what you do at work? Do you want to make a difference, an impact, and transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?</p>
<p>If yes, then this is the job you are looking for. Webook is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, and revenue, serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Analyze and mine business data to identify patterns and correlations among the various data points.</li>
<li>Map and trace data within the enterprise data framework in order to solve a given business or system problem.</li>
<li>Design and create marts to support the business intelligence tools and provide data to the end users in support of business decisions.</li>
<li>Perform statistical analysis of the enterprise data. Extract existing data to manipulate, calculate, and format into useful presentations.</li>
<li>Identify and explore opportunities to enhance enterprise analytical databases using knowledge gained from experience and from an understanding of emerging methodologies.</li>
<li>Create and document logical data integration (ETL) strategies for data flows between source/target systems and the Enterprise Data Warehouse.</li>
<li>Perform a variety of in-depth data analysis, data modeling, and data administration tasks on complicated datasets with potentially complex data integration scenarios with limited supervision.</li>
<li>Establish, maintain, adhere to, and enforce Enterprise Data modeling and Data Integration standards.</li>
<li>Support innovations by actively keeping technical and professional business knowledge current on emerging technology and data trends which may fit with enterprise needs. Must be able to research and accurately articulate benefits and goals of these technologies.</li>
</ul>
<h4>Requirements</h4>
<p>Bachelor's degree in Computer Science, Management Information Systems, or a related field.</p>
<p>Minimum of 4 years experience.</p>
<p>Overall experience in information systems; background experience in ETL processes, application development, report development, and data warehouse projects.</p>
<h4>Skills:</h4>
<ul>
<li>Proficient in English written and verbal communication skills.</li>
<li>Demonstrates excellent judgment and decision-making skills.</li>
<li>Demonstrated time management and priority setting skills.</li>
<li>Excellent organizational skills.</li>
<li>Possesses strong product knowledge.</li>
<li>Possesses strong technical aptitude.</li>
</ul></p><p></p>
Confidential
Jordan - Amman
<p><h4>Role overview</h4>
<p>We are seeking a highly skilled senior AI infrastructure and platform engineer to join our client’s team in Riyadh. In this role, you’ll be responsible for building, managing, and optimizing scalable AI infrastructure and compute environments that support high-performance workloads, including GPU-accelerated AI/ML pipelines, cluster scheduling, and orchestration.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Deploy, maintain, and optimize GPU-based compute clusters and infrastructure.</li>
<li>Manage and operate GPU orchestration tools and platforms such as:
<ul>
<li>Nvidia Base Command Manager (critical)</li>
<li>Nvidia AI Enterprise Suite</li>
<li>Nvidia GPU and Network Operators</li>
<li>Nvidia NIMs and Blueprints</li>
</ul>
</li>
<li>Configure, deploy, and maintain compute workloads using scheduling and orchestration tools including:
<ul>
<li>Slurm (critical)</li>
<li>Vanilla Kubernetes</li>
</ul>
</li>
<li>Install, configure, and maintain the underlying OS (e.g. Canonical Ubuntu) and supporting system software.</li>
<li>Monitor and troubleshoot infrastructure performance, availability, and reliability; ensure high uptime for AI/ML workloads.</li>
<li>Work with data scientists, ML engineers, and development teams to define infrastructure requirements, resource allocation, and deployment workflows.</li>
<li>Develop automation scripts, CI/CD pipelines, and best practices for infrastructure provisioning and management.</li>
<li>Document architecture, configurations, and operational procedures; enforce security, compliance, and backup policies.</li>
</ul>
<h4>Requirements</h4>
<h5>Required skills & experience</h5>
<ul>
<li>Proven experience managing GPU-based AI/ML infrastructure and compute clusters.</li>
<li>Hands-on experience with:
<ul>
<li>Nvidia Base Command Manager</li>
<li>Nvidia AI Enterprise Suite</li>
<li>Nvidia GPU/Network Operators, NIMs, Blueprints</li>
</ul>
</li>
<li>Strong experience with Slurm and/or Kubernetes orchestration.</li>
<li>Solid Linux system administration skills — preferably on Ubuntu or similar distributions.</li>
<li>Strong scripting/automation ability (e.g. Bash, Python, or relevant tooling) for provisioning, deployment, and maintenance.</li>
<li>Excellent troubleshooting and performance-tuning skills.</li>
<li>Experience collaborating with ML/data science teams and integrating infrastructure with their workflows.</li>
<li>Strong understanding of networking, security, resource allocation, and cluster management best practices.</li>
</ul>
<h5>Preferred qualifications</h5>
<ul>
<li>Previous experience working in a high-performance computing (HPC) or AI-focused infrastructure team.</li>
<li>Knowledge of containerization, container orchestration, and GPUs in cloud or on-prem environments.</li>
<li>Experience with CI/CD, infrastructure-as-code (e.g. Terraform, Ansible), monitoring tools, and logging setups.</li>
<li>Familiarity with workload scheduling, job queuing, resource quotas, and GPU-shared environments.</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>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>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>
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>