SQL Jobs in Kuwait

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational biology problems that simulate real biology research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, BioPython); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in bioinformatics, systems biology, and molecular modeling; Base problems on real research challenges or practical applications from biology practice; Verify solutions using Python with standard computational biology libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for biology specialists with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Biology or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with biological data analysis and algorithms; Familiarity with bioinformatics tools and computational methods; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Statistics or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $39 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a highly skilled Business Systems Analyst with extensive experience in supply chain planning and execution applications, particularly within the Oracle ecosystem. As an Oracle Supply Chain Planning Business Specialist, you will collaborate closely with stakeholders across the organization to analyze business needs, optimize processes, and implement effective solutions using Oracle Applications best practices. A deep understanding of supply chain planning processes, strong analytical abilities, and excellent communication skills are essential for this role. You will be responsible for managing the supply chain planning modules with Oracle E-Business Suite (EBS) and helping organization in cloud migration process.</p><p>Responsibilities:</p><ul><li>Application implementation and Support : Lead the implementation, extension, and enhancement of Oracle Supply Chain Planning modules (such as Demand Planning, Advanced Planning and Scheduling, Inventory Management, and Procurement etc.). Provide ongoing support and maintenance for Oracle Applications, ensuring system stability, availability, and performance.</li><li>Requirements Gathering &amp; Analysis : Collaborate with business stakeholders to understand and document business requirements. Analyze existing processes and systems to identify areas for improvement and optimization.</li><li>Business Process Optimization : Promote and implement process improvements to enhance efficiency and accuracy in supply chain planning and operations. Collaborate with cross-functional teams to integrate Oracle applications with other enterprise tools and applications.</li><li>Continuous Improvement : Lead the planning, configuring, testing and implementation of application updates and upgrades following best practices. Stay current with Oracle product updates and emerging technologies, applying this knowledge to drive continuous improvement.</li><li>Project Management: Manage projects from inception to completion, including planning, execution, monitoring, and closing. Coordinate with cross-functional teams to ensure project deliverables are met on time and within budget.</li><li>Data Security: Ensure data integrity and security across Oracle platforms.</li><li>Service Management : Take ownership and resolve service requests within SLA (Service Level Agreement) timelines. Use current change control standards and SDLC to successfully implement solutions</li><li>Training and Development : Organize training sessions to share knowledge with the stakeholders, keeping them up to date with the latest features and functionalities within the applications.</li><li>Documentation : Ensure accurate and up-to-date documentation of system configurations, processes, procedures, user guides for existing and new applications. Create and deliver training materials and sessions for end-users and stakeholders.</li><li>Reporting and Business Analytics : Prepare reports, interpret complex data, and provide actionable insights.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><strong>Education:</strong> bachelor's or master's degree in computer science, Information Systems, or a related field.</li><li><strong>Experience:</strong> 5 to 8 years of experience with supply chain planning modules in Oracle eBusiness Suite, Oracle Cloud Fusion applications. Strong understanding of supply chain planning processes and best practices.</li><li><strong>Communication Skills:</strong> Excellent verbal, written communication and interpersonal skills are crucial for interacting and collaborating with team members and stakeholders effectively at all levels.</li><li><strong>Analytical Skills :</strong> Strong analytical, troubleshooting, performance tuning, and debugging skills. Problem-solving skills are necessary for identifying root causes of issues and implementing effective solutions.</li><li><strong>Project management :</strong> Experience in Waterfall and Agile Methodology.</li><li><strong>Time Management :</strong> Effective time management and organizational skills are necessary to prioritize tasks and meet deadlines.</li><li><strong>Strategic Thinking :</strong> Ability to think strategically and align the solution deliverables with the organization s goals and objectives.</li><li><strong>Technical Skills:</strong> Oracle Database : SQL Application Technology : Oracle Alerts, Oracle Business Events, Workflow, Forms personalization Integration Technologies : Oracle Integration Cloud (OIC), Integration SOA Gateway, Rest APIs Cloud : Oracle Cloud Infrastructure and Cloud migration strategies. Reporting and analytics with Oracle applications (Standard reports), Enterprise Command Center</li></ul><p></p></section>

<p>A Backend / Integration Lead (Java) is typically responsible for leading the design, development, and integration of backend systems, APIs, and enterprise applications while mentoring developers and coordinating with stakeholder.</p><br><ul><li><p>Technical lead for Backend Squad. Owns Java Spring Boot services, and API design. </p></li><li><p>Design and develop scalable, secure, and high-performance backend applications using Java and Spring Boot. </p></li><li><p>Define backend architecture, coding standards, design patterns, and development best practices.</p></li><li><p>Design, develop, and maintain RESTful APIs, microservices, and enterprise integration services.</p></li><li><p>Lead system integration with internal and external applications using REST, SOAP, messaging platforms, and event-driven architectures.</p></li><li><p>Ensure API security, versioning, documentation, and governance using industry standards.</p></li><li><p>Review code, conduct technical design reviews, and enforce quality assurance practices.</p></li><li><p>Mentor and coach backend developers, providing technical guidance and performance feedback.</p></li><li><p>Design and optimize database interactions, including SQL queries, stored procedures, and transaction management.</p></li><li><p>Analyze and resolve complex production issues, perform root cause analysis, and implement preventive measures.</p></li><li><p>Drive application performance tuning, scalability improvements, and system reliability initiatives.</p></li><li><p>Implement automated units, integration, and performance testing to ensure software quality. </p></li><li><p>Ensure compliance with security, data privacy, and organizational governance requirements.</p></li><li><p>Evaluate and recommend new technologies, frameworks, and architectural approaches to improve backend capabilities.</p></li><li><p>Manage technical risks, estimate development effort, and contribute to project planning and resource allocation.</p></li><li><p>Coordinate release planning, deployment activities, and post-production support. </p></li><li><p>Produce and maintain technical documentation, including architecture diagrams, API specifications, and operational procedures.</p></li><li><p>Work closely with cross-functional teams to ensure seamless integration between enterprise systems and third-party platforms.</p></li><li><p>Monitor application health, availability, and performance using logging, monitoring, and observability tools, and lead continuous improvement initiatives </p></li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Bachelor's degree in one of the following:</strong></p><ul><li><p>Computer Science</p></li><li><p>Software Engineering</p></li><li><p>Computer Engineering</p></li><li><p>Information Technology</p></li><li><p>Information Systems (or a closely related field)</p></li></ul><p><br></p><p><strong>Preferred Certifications</strong></p><ul><li><p>Oracle Certified Professional (Java)</p></li><li><p>AWS Certified Developer or Solutions Architect</p></li><li><p>Microsoft Azure Developer Associate</p></li><li><p>Kubernetes (CKA/CKAD)</p></li><li><p>Scrum Master or Agile certifications</p></li><li><p>TOGAF (for enterprise architecture roles)</p></li><li><p>Technical Lead with 10+ years of experience specializing in Integration activities and deliver end-to-end APIs and solutions to integrate Portal / Mobile with different backend system.</p></li><li><p>Analyze and optimize integration of Mobile applications with different backend system to have the best experience of online shopping.</p></li><li><p>Kuwait/ Transferable Visa</p></li></ul>

<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>

<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>

<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>

<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 quantum researchers 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>

<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 <br> Pass qualification(s) <br> Join a project <br> Complete tasks <br> 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>

<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>

<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>

<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>

<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> <ul> <li>Apply</li> <li>Pass qualification(s)</li> <li>Join a project</li> <li>Complete tasks</li> <li>Get paid</li> </ul> <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>

<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>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational physics problems that simulate real physics research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; Base problems on real research challenges or practical applications from physics practice; Verify solutions using Python with standard physics simulation libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for quantum researchers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Physics (Theoretical, Experimental, or Computational) or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical simulation methods; Ability to design problems that mirror real physics research workflows; Creative thinking in problem design across diverse physics areas; Familiarity with physics modeling and approximation techniques; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational physics problems that simulate real physics research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; Base problems on real research challenges or practical applications from physics practice; Verify solutions using Python with standard physics simulation libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for optical engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Physics (Theoretical, Experimental, or Computational) or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical simulation methods; Ability to design problems that mirror real physics research workflows; Creative thinking in problem design across diverse physics areas; Familiarity with physics modeling and approximation techniques; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational physics problems that simulate real physics research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; Base problems on real research challenges or practical applications from physics practice; Verify solutions using Python with standard physics simulation libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for quantum researchers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Physics (Theoretical, Experimental, or Computational) or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical simulation methods; Ability to design problems that mirror real physics research workflows; Creative thinking in problem design across diverse physics areas; Familiarity with physics modeling and approximation techniques; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational physics problems that simulate real physics research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; Base problems on real research challenges or practical applications from physics practice; Verify solutions using Python with standard physics simulation libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for physicians with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Physics (Theoretical, Experimental, or Computational) or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical simulation methods; Ability to design problems that mirror real physics research workflows; Creative thinking in problem design across diverse physics areas; Familiarity with physics modeling and approximation techniques; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational physics problems that simulate real physics research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; Base problems on real research challenges or practical applications from physics practice; Verify solutions using Python with standard physics simulation libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for physicians with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Physics (Theoretical, Experimental, or Computational) or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical simulation methods; Ability to design problems that mirror real physics research workflows; Creative thinking in problem design across diverse physics areas; Familiarity with physics modeling and approximation techniques; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>