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<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 material 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 materials scientists and engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in materials science 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> </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 material 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 materials scientists and engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in materials science 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> </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 rigorous computer science problems reflecting professional practice;</li> <li>Evaluate AI solutions for correctness, assumptions, and constraints;</li> <li>Validate calculations or simulations using Python (NumPy, Pandas, SciPy);</li> <li>Improve AI reasoning to align with industry-standard logic;</li> <li>Apply structured scoring criteria to multi-step problems;</li> <li>Collaborate with a global community of PhDs to ensure the highest scientific integrity.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for computer science experts with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in computer science 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 $40 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 rigorous computer science problems reflecting professional practice;</li> <li>Evaluate AI solutions for correctness, assumptions, and constraints;</li> <li>Validate calculations or simulations using Python (NumPy, Pandas, SciPy);</li> <li>Improve AI reasoning to align with industry-standard logic;</li> <li>Apply structured scoring criteria to multi-step problems;</li> <li>Collaborate with a global community of PhDs to ensure the highest scientific integrity.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for computer science experts with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in computer science 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 $40 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><p>At Syarah, we are building the future of automotive e-commerce in the region, with data at the core of our operations. We’re looking for a senior data specialist to support and scale our data systems, analytics, and reporting capabilities.</p> <p>This is a hands-on role where you will build reliable data pipelines, improve data quality, and generate insights that support business decisions across product, operations, and finance. You will play a key role in developing and maintaining our data infrastructure on GCP.</p> <h4>Key responsibilities</h4> <ul> <li>Build and maintain scalable data pipelines and ETL processes</li> <li>Develop and optimize Syarah’s data platform on GCP (BigQuery, Dataform, Cloud Run)</li> <li>Design and maintain clean, scalable data models for reporting and analytics</li> <li>Integrate data from multiple sources, including ERP and operational systems</li> <li>Develop and maintain APIs (Flask or similar) for data access and integrations</li> <li>Manage and monitor data workflows using Airflow or similar tools</li> <li>Ensure data accuracy, consistency, and reliability across systems</li> <li>Support integration of tools like Mixpanel and Adjust for analytics and tracking</li> <li>Build dashboards and reports for business teams</li> <li>Analyze data to identify trends, issues, and opportunities</li> <li>Collaborate with product, finance, and operations teams to support data needs</li> <li>Contribute to automation and internal tooling, including AI-related use cases where relevant</li> </ul> <h4>Requirements</h4> <ul> <li>4+ years of experience in data engineering, analytics, or similar roles</li> <li>Strong experience with GCP (BigQuery preferred)</li> <li>Advanced proficiency in SQL and Python</li> <li>Experience building and maintaining data pipelines and ETL processes</li> <li>Hands-on experience with Airflow or similar workflow orchestration tools</li> <li>Experience with APIs (Flask or similar frameworks is a plus)</li> <li>Strong understanding of data modeling and analytics best practices</li> <li>Familiarity with analytics tools (e.g., Mixpanel, Adjust) is a plus</li> <li>Experience working with ERP systems is a plus</li> <li>Strong problem-solving and analytical skills</li> <li>Ability to work in a fast-paced, cross-functional environment</li> </ul></p><p></p>

<p><p>At Syarah, we are building the future of automotive e-commerce in the region, with data at the core of our operations. We’re looking for a senior data specialist to support and scale our data systems, analytics, and reporting capabilities.</p> <p>This is a hands-on role where you will build reliable data pipelines, improve data quality, and generate insights that support business decisions across product, operations, and finance. You will play a key role in developing and maintaining our data infrastructure on GCP.</p> <h4>Key responsibilities</h4> <ul> <li>Build and maintain scalable data pipelines and ETL processes</li> <li>Develop and optimize Syarah’s data platform on GCP (BigQuery, Dataform, Cloud Run)</li> <li>Design and maintain clean, scalable data models for reporting and analytics</li> <li>Integrate data from multiple sources, including ERP and operational systems</li> <li>Develop and maintain APIs (Flask or similar) for data access and integrations</li> <li>Manage and monitor data workflows using Airflow or similar tools</li> <li>Ensure data accuracy, consistency, and reliability across systems</li> <li>Support integration of tools like Mixpanel and Adjust for analytics and tracking</li> <li>Build dashboards and reports for business teams</li> <li>Analyze data to identify trends, issues, and opportunities</li> <li>Collaborate with product, finance, and operations teams to support data needs</li> <li>Contribute to automation and internal tooling, including AI-related use cases where relevant</li> </ul> <h4>Requirements</h4> <ul> <li>4+ years of experience in data engineering, analytics, or similar roles</li> <li>Strong experience with GCP (BigQuery preferred)</li> <li>Advanced proficiency in SQL and Python</li> <li>Experience building and maintaining data pipelines and ETL processes</li> <li>Hands-on experience with Airflow or similar workflow orchestration tools</li> <li>Experience with APIs (Flask or similar frameworks is a plus)</li> <li>Strong understanding of data modeling and analytics best practices</li> <li>Familiarity with analytics tools (e.g., Mixpanel, Adjust) is a plus</li> <li>Experience working with ERP systems is a plus</li> <li>Strong problem-solving and analytical skills</li> <li>Ability to work in a fast-paced, cross-functional environment</li> </ul></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 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 civil 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> </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>

<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 civil 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> </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>

<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 material 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 materials scientists and engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Materials Science 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> </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 material 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 materials scientists and engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Materials Science 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> </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 rigorous computer science problems reflecting professional practice;</li> <li>Evaluate AI solutions for correctness, assumptions, and constraints;</li> <li>Validate calculations or simulations using Python (NumPy, Pandas, SciPy);</li> <li>Improve AI reasoning to align with industry-standard logic;</li> <li>Apply structured scoring criteria to multi-step problems;</li> <li>Collaborate with a global community of PhDs to ensure the highest scientific integrity.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for computer science experts with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in computer science 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 $40 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 rigorous computer science problems reflecting professional practice;</li> <li>Evaluate AI solutions for correctness, assumptions, and constraints;</li> <li>Validate calculations or simulations using Python (NumPy, Pandas, SciPy);</li> <li>Improve AI reasoning to align with industry-standard logic;</li> <li>Apply structured scoring criteria to multi-step problems;</li> <li>Collaborate with a global community of PhDs to ensure the highest scientific integrity.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for computer science experts with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in computer science 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 $40 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>Key responsibilities</h4> <p>Manage day-to-day community engagement across all social media platforms, including comments, direct messages, and mentions.<br> Respond to high volumes of community interactions in a timely, professional, and brand-aligned manner, ensuring consistency in tone of voice.<br> Plan, schedule, and publish content across multiple social media platforms, ensuring posts go live accurately and in line with the content calendar.<br> Monitor brand conversations, sentiment, and industry trends using social listening tools such as Brandwatch, Sprinklr, Meltwater, or similar platforms.<br> Identify audience insights, recurring themes, and engagement patterns, and translate them into actionable recommendations for content and strategy teams.<br> Prepare and deliver structured performance reporting on a weekly, monthly, quarterly, and annual basis, covering community engagement, sentiment analysis, and key trends.<br> Escalate sensitive, high-risk, or reputational issues to relevant internal stakeholders in a timely and controlled manner.</p> <h4>Requirements</h4> <p>2-4+ years in community management, social media, or digital engagement roles in fast-paced environments.<br> Degree in Marketing/Communications or similar preferred, with strong teamwork, judgment, and a proactive, calm approach under pressure.<br> Strong understanding of Instagram, TikTok, X, LinkedIn, YouTube, and Facebook, including engagement and best practices.<br> Experience with tools like Brandwatch, Hootsuite Insights, or similar with ability to extract insights.<br> Experience scheduling, publishing, and managing posts across multiple platforms.<br> Strong English and Arabic writing skills, with ability to manage high-volume comments/DMs while maintaining tone and accuracy.</p> <h4>Benefits</h4> <p>Joining our team ensures that your opinions matter, providing you with a platform to express yourself. You will experience continuous growth and learning opportunities and be empowered to push your limits. We are dedicated to fostering a positive environment that prioritizes your well-being and health. Collaborate with a strong and supportive team that is committed to motivating you both in your personal and professional journey.</p></p><p></p>

<p><h4>Key responsibilities</h4> <p>Manage day-to-day community engagement across all social media platforms, including comments, direct messages, and mentions.<br> Respond to high volumes of community interactions in a timely, professional, and brand-aligned manner, ensuring consistency in tone of voice.<br> Plan, schedule, and publish content across multiple social media platforms, ensuring posts go live accurately and in line with the content calendar.<br> Monitor brand conversations, sentiment, and industry trends using social listening tools such as Brandwatch, Sprinklr, Meltwater, or similar platforms.<br> Identify audience insights, recurring themes, and engagement patterns, and translate them into actionable recommendations for content and strategy teams.<br> Prepare and deliver structured performance reporting on a weekly, monthly, quarterly, and annual basis, covering community engagement, sentiment analysis, and key trends.<br> Escalate sensitive, high-risk, or reputational issues to relevant internal stakeholders in a timely and controlled manner.</p> <h4>Requirements</h4> <p>2-4+ years in community management, social media, or digital engagement roles in fast-paced environments.<br> Degree in Marketing/Communications or similar preferred, with strong teamwork, judgment, and a proactive, calm approach under pressure.<br> Strong understanding of Instagram, TikTok, X, LinkedIn, YouTube, and Facebook, including engagement and best practices.<br> Experience with tools like Brandwatch, Hootsuite Insights, or similar with ability to extract insights.<br> Experience scheduling, publishing, and managing posts across multiple platforms.<br> Strong English and Arabic writing skills, with ability to manage high-volume comments/DMs while maintaining tone and accuracy.</p> <h4>Benefits</h4> <p>Joining our team ensures that your opinions matter, providing you with a platform to express yourself. You will experience continuous growth and learning opportunities and be empowered to push your limits. We are dedicated to fostering a positive environment that prioritizes your well-being and health. Collaborate with a strong and supportive team that is committed to motivating you both in your personal and professional journey.</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 rigorous computer science problems reflecting professional practice;</li> <li>Evaluate AI solutions for correctness, assumptions, and constraints;</li> <li>Validate calculations or simulations using Python (NumPy, Pandas, SciPy);</li> <li>Improve AI reasoning to align with industry-standard logic;</li> <li>Apply structured scoring criteria to multi-step problems;</li> <li>Collaborate with a global community of PhDs to ensure the highest scientific integrity.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for computer science experts with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in computer science 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 $40 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 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 Civil 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> </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>

<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 Civil 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> </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>

<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 material 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 material scientists and engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Material Science 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> </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 material 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 material scientists and engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Material Science 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> </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 rigorous computer science problems reflecting professional practice;</li> <li>Evaluate AI solutions for correctness, assumptions, and constraints;</li> <li>Validate calculations or simulations using Python (NumPy, Pandas, SciPy);</li> <li>Improve AI reasoning to align with industry-standard logic;</li> <li>Apply structured scoring criteria to multi-step problems;</li> <li>Collaborate with a global community of PhDs to ensure the highest scientific integrity.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for computer science experts with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in computer science 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 $40 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>