Jobs in The Gulf

<p><h4>Description</h4> <p>The data platform technology architect leads the architecture, design, and evolution of the government's core data platforms — ensuring scalable, secure, and interoperable solutions. You will enable seamless data exchange and integration across government entities and oversee data ingestion, storage, APIs, master data management, and advanced analytics capabilities, all in alignment with government-wide strategy and policy.</p> <ul> <li><strong>Define and own the end-to-end architecture for core data platforms</strong> — ensuring scalability, performance, and security.</li> <li><strong>Advise on technology selection, solution architecture, and platform harmonization</strong> for optimal, future-proof, cost-effective deployments aligned to government-wide data strategy.</li> <li><strong>Lead architecture and oversight of a complex ecosystem of data platforms</strong> — ensuring interoperability, consistency, and alignment across multiple vendors and technologies.</li> <li><strong>Design and govern the data sharing platform</strong>, enabling secure, standardized data flows across entities.</li> <li><strong>Oversee implementation and evolution of platform components</strong> for sharing, provisioning, and performance measurement.</li> <li><strong>Guide design and implementation of entity-level data solutions:</strong> ingestion, storage (lakes/warehouses), catalogues, master data management, integration layers, and analytics.</li> <li><strong>Ensure interoperability across entities</strong> through standardized data exchange, APIs, and integration patterns.</li> <li><strong>Oversee platform lifecycle management</strong> — setup, operations, upgrades, migrations, and decommissioning of legacy platforms.</li> <li><strong>Engage stakeholders</strong> to align the platform roadmap with strategic priorities and evolving data use cases.</li> <li><strong>Collaborate with engineering teams and vendors</strong> to ensure high-quality platform delivery and deployment.</li> <li><strong>Drive platform adoption and value realization</strong> through enablement and use case activation.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's or master's in computer science, data engineering, or related field.</li> <li>20+ years in technology architecture — including designing and deploying large-scale data platforms in multinational or multi-entity environments (preferably with exposure in Europe or North America).</li> <li>Proven hands-on experience architecting and implementing cloud-based data platforms, data marketplaces, and integration ecosystems across entities.</li> <li>Strong expertise across modern data platforms and technologies — e.g., Azure, Databricks, Snowflake, Informatica, Microsoft Purview, Palantir Foundry, or similar.</li> <li>Demonstrated ability to assess, select, and harmonize technologies across diverse vendors.</li> <li>Government or large-scale enterprise ecosystem experience strongly preferred.</li> <li>Excellent English communication; Arabic a plus.</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 mathematics problems that simulate real mathematical research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li> <li>Base problems on real research challenges or practical applications from mathematical practice;</li> <li>Verify solutions using Python with standard mathematical libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for mathematicians with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Mathematics (Pure or Applied) or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical methods and symbolic computation;</li> <li>Ability to design problems that mirror real mathematical research workflows;</li> <li>Familiarity with computational complexity theory;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational mathematics problems that simulate real mathematical research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li> <li>Base problems on real research challenges or practical applications from mathematical practice;</li> <li>Verify solutions using Python with standard mathematical libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for mathematicians with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Mathematics (Pure or Applied) or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical methods and symbolic computation;</li> <li>Ability to design problems that mirror real mathematical research workflows;</li> <li>Familiarity with computational complexity theory;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>The data governance chief specialist owns the design and enforcement of the government-wide data governance framework — policies, standards, KPIs, and operating model. You will work directly with senior government stakeholders, lead cross-entity governance bodies, and drive measurable improvements in data quality, sharing, and management maturity at a national level.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Lead development and continuous enhancement of the government-wide data governance framework — including policies, standards, and operating model.</li> <li>Define, measure, and enforce compliance with government data policies through structured monitoring, audits, and performance tracking.</li> <li>Drive the development, rollout, and governance of government-wide data performance indices to assess and uplift data quality, sharing, and management capability across entities.</li> <li>Lead the end-to-end KPI measurement cycle: data collection, validation, scoring, and quality assurance.</li> <li>Maintain and govern the government-wide data information model — enterprise data architecture, key data domains, and relationships.</li> <li>Maintain and govern the central data catalogue, metadata, and reference data; resolve cross-entity inconsistencies and ownership conflicts.</li> <li>Promote and enable cross-entity data sharing through engagement, platform adoption, and a collaborative data culture.</li> <li>Operationalize governance bodies (data committees, working groups) for oversight, alignment, and escalation management.</li> <li>Provide strategic oversight on data-related risks and integrate with enterprise risk management.</li> <li>Engage senior stakeholders across government to align governance priorities with strategic and transformation initiatives.</li> <li>Lead continuous improvement of the internal governance team's practices and performance.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's in data management, business administration, IT, or a related field; master's preferred.</li> <li>20+ years of progressive experience in data governance, data management, information architecture, or digital transformation — with deep expertise in policy design, data modelling, and enterprise data architecture.</li> <li>Demonstrated track record establishing or scaling enterprise-level or national-scale data governance functions, including compliance and performance measurement frameworks.</li> <li>Strong working knowledge of global frameworks — DAMA-DMBOK, DCAM, ISO 8000, or equivalent.</li> <li>Hands-on experience implementing and governing data policies, standards, and operating models in complex multi-entity or multinational environments.</li> <li>Comfortable engaging C-suite, ministerial, or board-level stakeholders.</li> <li>Excellent written and spoken English; Arabic is a plus.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The data governance chief specialist owns the design and enforcement of the government-wide data governance framework — policies, standards, KPIs, and operating model. You will work directly with senior government stakeholders, lead cross-entity governance bodies, and drive measurable improvements in data quality, sharing, and management maturity at a national level.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Lead development and continuous enhancement of the government-wide data governance framework — including policies, standards, and operating model.</li> <li>Define, measure, and enforce compliance with government data policies through structured monitoring, audits, and performance tracking.</li> <li>Drive the development, rollout, and governance of government-wide data performance indices to assess and uplift data quality, sharing, and management capability across entities.</li> <li>Lead the end-to-end KPI measurement cycle: data collection, validation, scoring, and quality assurance.</li> <li>Maintain and govern the government-wide data information model — enterprise data architecture, key data domains, and relationships.</li> <li>Maintain and govern the central data catalogue, metadata, and reference data; resolve cross-entity inconsistencies and ownership conflicts.</li> <li>Promote and enable cross-entity data sharing through engagement, platform adoption, and a collaborative data culture.</li> <li>Operationalize governance bodies (data committees, working groups) for oversight, alignment, and escalation management.</li> <li>Provide strategic oversight on data-related risks and integrate with enterprise risk management.</li> <li>Engage senior stakeholders across government to align governance priorities with strategic and transformation initiatives.</li> <li>Lead continuous improvement of the internal governance team's practices and performance.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's in data management, business administration, IT, or a related field; master's preferred.</li> <li>20+ years of progressive experience in data governance, data management, information architecture, or digital transformation — with deep expertise in policy design, data modelling, and enterprise data architecture.</li> <li>Demonstrated track record establishing or scaling enterprise-level or national-scale data governance functions, including compliance and performance measurement frameworks.</li> <li>Strong working knowledge of global frameworks — DAMA-DMBOK, DCAM, ISO 8000, or equivalent.</li> <li>Hands-on experience implementing and governing data policies, standards, and operating models in complex multi-entity or multinational environments.</li> <li>Comfortable engaging C-suite, ministerial, or board-level stakeholders.</li> <li>Excellent written and spoken English; Arabic is a plus.</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 electrical engineering or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+);</li> <li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li> </ul> <h4>How it works</h4> <p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in electrical engineering or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+);</li> <li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li> </ul> <h4>How it works</h4> <p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>The senior network engineer is responsible for leading and executing enterprise-wide migration initiatives from public to private IP addressing across applications, databases, servers, and network devices. This role ensures secure, resilient, and uninterrupted service delivery through careful planning, dependency analysis, execution, validation, and documentation of network changes in complex on-premises, cloud, or hybrid environments.</p> <h4>Key responsibilities</h4> <li>Conduct a comprehensive assessment of all servers, applications, databases, and network devices currently using public IP addresses.</li> <li>Develop a detailed IP migration plan covering timelines, phased execution, backup strategies, and service rollback procedures when required.</li> <li>Perform application and service dependency analysis to identify and mitigate the impact of IP address migration on interconnected systems.</li> <li>Design and allocate new private IP address ranges, ensuring full compatibility with the existing network architecture and infrastructure standards.</li> <li>Execute the migration from public to private IP addresses in a secure and controlled manner, while maintaining continuous operation of business-critical applications and services.</li> <li>Coordinate with security, systems, application, and operations teams to align firewall rules, routing, NAT, DNS, and access controls with the new private addressing model.</li> <li>Perform post-migration validation and testing to confirm service availability, performance, and network stability.</li> <li>Prepare and maintain comprehensive documentation for all migration phases, including implemented changes, encountered issues, root causes, and applied solutions.</li> <li>Assess and analyze all DNS records to identify unused, obsolete, or outdated entries.</li> <li>Classify DNS records based on criticality, activity level, and operational validity.</li> <li>Remove or update invalid, obsolete, or unnecessary DNS entries in accordance with approved change procedures.</li> <li>Ensure that DNS cleanup activities do not impact applications, services, or end users.</li> <li>Establish periodic review procedures to maintain the accuracy and health of DNS records on an ongoing basis.</li> <li>Document all DNS review, cleanup activities, and applied changes for audit, compliance, and operational reference.</li> <h4>Requirements</h4> <h4>Required technical skills & experience</h4> <li>Strong expertise in enterprise network design, IP addressing (IPv4/IPv6), subnetting, and routing protocols.</li> <li>Hands-on experience with IP address migration projects in large-scale environments (on-prem, cloud, or hybrid).</li> <li>Solid knowledge of firewalls, load balancers, DNS, NAT, VPNs, and network security controls.</li> <li>Experience working with high-availability and mission-critical environments, ensuring zero or minimal downtime.</li> <li>Ability to analyze complex application-to-network dependencies.</li> <li>Familiarity with change management, rollback planning, and disaster recovery practices.</li> <h4>Soft skills & professional competencies</h4> <li>Strong analytical and problem-solving skills.</li> <li>Excellent documentation and technical reporting capabilities.</li> <li>Ability to work under pressure and manage high-risk infrastructure changes.</li> <li>Effective communication with technical and non-technical stakeholders.</li> <h4>Education & certifications (preferred)</h4> <li>Bachelor’s degree in computer science, information technology, or a related field.</li> <li>Relevant certifications such as CCNP/CCIE, JNCIP/JNCIE, Infoblox technical certifications or equivalent are highly preferred.</li></p><p></p>

<p><h4>Description</h4> <p>The senior network engineer is responsible for leading and executing enterprise-wide migration initiatives from public to private IP addressing across applications, databases, servers, and network devices. This role ensures secure, resilient, and uninterrupted service delivery through careful planning, dependency analysis, execution, validation, and documentation of network changes in complex on-premises, cloud, or hybrid environments.</p> <h4>Key responsibilities</h4> <li>Conduct a comprehensive assessment of all servers, applications, databases, and network devices currently using public IP addresses.</li> <li>Develop a detailed IP migration plan covering timelines, phased execution, backup strategies, and service rollback procedures when required.</li> <li>Perform application and service dependency analysis to identify and mitigate the impact of IP address migration on interconnected systems.</li> <li>Design and allocate new private IP address ranges, ensuring full compatibility with the existing network architecture and infrastructure standards.</li> <li>Execute the migration from public to private IP addresses in a secure and controlled manner, while maintaining continuous operation of business-critical applications and services.</li> <li>Coordinate with security, systems, application, and operations teams to align firewall rules, routing, NAT, DNS, and access controls with the new private addressing model.</li> <li>Perform post-migration validation and testing to confirm service availability, performance, and network stability.</li> <li>Prepare and maintain comprehensive documentation for all migration phases, including implemented changes, encountered issues, root causes, and applied solutions.</li> <li>Assess and analyze all DNS records to identify unused, obsolete, or outdated entries.</li> <li>Classify DNS records based on criticality, activity level, and operational validity.</li> <li>Remove or update invalid, obsolete, or unnecessary DNS entries in accordance with approved change procedures.</li> <li>Ensure that DNS cleanup activities do not impact applications, services, or end users.</li> <li>Establish periodic review procedures to maintain the accuracy and health of DNS records on an ongoing basis.</li> <li>Document all DNS review, cleanup activities, and applied changes for audit, compliance, and operational reference.</li> <h4>Requirements</h4> <h4>Required technical skills & experience</h4> <li>Strong expertise in enterprise network design, IP addressing (IPv4/IPv6), subnetting, and routing protocols.</li> <li>Hands-on experience with IP address migration projects in large-scale environments (on-prem, cloud, or hybrid).</li> <li>Solid knowledge of firewalls, load balancers, DNS, NAT, VPNs, and network security controls.</li> <li>Experience working with high-availability and mission-critical environments, ensuring zero or minimal downtime.</li> <li>Ability to analyze complex application-to-network dependencies.</li> <li>Familiarity with change management, rollback planning, and disaster recovery practices.</li> <h4>Soft skills & professional competencies</h4> <li>Strong analytical and problem-solving skills.</li> <li>Excellent documentation and technical reporting capabilities.</li> <li>Ability to work under pressure and manage high-risk infrastructure changes.</li> <li>Effective communication with technical and non-technical stakeholders.</li> <h4>Education & certifications (preferred)</h4> <li>Bachelor’s degree in computer science, information technology, or a related field.</li> <li>Relevant certifications such as CCNP/CCIE, JNCIP/JNCIE, Infoblox technical certifications or equivalent are highly preferred.</li></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 statistics problems that simulate real mathematical research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li> <li>Base problems on real research challenges or practical applications from mathematical practice;</li> <li>Verify solutions using Python with standard mathematical libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in statistics or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Strong written English (C1+);</li> <li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li> </ul> <h4>How it works</h4> <p>Apply > Pass qualification(s) > Join a project > Complete tasks > Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational statistics problems that simulate real mathematical research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li> <li>Base problems on real research challenges or practical applications from mathematical practice;</li> <li>Verify solutions using Python with standard mathematical libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in statistics or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Strong written English (C1+);</li> <li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li> </ul> <h4>How it works</h4> <p>Apply > Pass qualification(s) > Join a project > Complete tasks > Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description<\/h4>\n<p><strong>About Open<\/strong><br>\nOpen.cx is the unified AI customer support platform automating 70%+ of interactions for enterprises like MoneyGram and Mollie. Backed by Y Combinator, X by Unifonic, and Shorooq Partners, we recently raised $7M+ to scale our operations across MENA and globally. We are moving from a startup phase to a high-growth scale-up, and we need a financial architect to build the foundation for that growth \u2014 and stay with us all the way to the next decade of scale.<\/p>\n\n<h4>Your mandate<\/h4>\n<p>Own the financial engine of a company on a 3\u20135x ARR year, scaling from a handful of enterprise logos to category-contender status.<br>\nBuild the planning, reporting, and operating cadence that lets every team \u2014 GTM, product, ops \u2014 make sharper decisions, faster.<br>\nOwn the next two priced rounds. Build the model the leads will actually pressure-test. Quarterback diligence. Sit at the table for term sheets.<br>\nBe the partner who tells the founders the truth about the numbers \u2014 and the strategist who shapes pricing, packaging, market expansion, and headcount because of them.<br>\nIf you're successful, you'll materially shape Open's growth trajectory and be the finance leader on the cap table at every subsequent round.<\/p>\n\n<h4>What you'll do \u2014 year one<\/h4>\n<p>Today, finance at Open lives in the founders' heads, a few spreadsheets, and our outsourced accounting partner. Your first major mission is to turn that into a structured, compounding system \u2014 a single source of truth on revenue, cash, burn, runway, unit economics, and pipeline that the leadership team trusts and acts on every week \u2014 and that the Series A leads will buy.<\/p>\n\n<p><strong>First 100 days<\/strong><\/p>\n<ul>\n<li>Listen tour: founders, every GTM leader, every customer-facing team. Map how money actually moves today.<\/li>\n<li>Stand up the weekly metrics email and the monthly board pack v1.<\/li>\n<li>Clean up the chart of accounts, compress the close to 5 business days.<\/li>\n<li>Build the v1 forecast model that survives contact with reality. Run it weekly.<\/li>\n<li>Pick the finance stack (NetSuite or QBO + Stripe\/Maxio + Brex\/Ramp\/Pleo + Pigment\/Cube\/Mosaic).<\/li>\n<li>Diagnose the unit economics: AI cost per resolved ticket, gross margin by segment, CAC payback by channel.<\/li>\n<\/ul>\n\n<p><strong>Months 4\u20139<\/strong><\/p>\n<ul>\n<li>Quarterback the Series A. Model, narrative, data room, diligence, term-sheet review.<\/li>\n<li>Stand up multi-entity consolidation cleanly (EU\/US subsidiaries).<\/li>\n<li>Build the pricing and deal-desk function \u2014 enterprise contract reviews, custom terms, ASC 606 compliance.<\/li>\n<li>Establish board cadence and investor reporting that the next round's leads will trust.<\/li>\n<\/ul>\n\n<p><strong>Months 10\u201318<\/strong><\/p>\n<ul>\n<li>Hit the targeted ARR WIG. Be the finance leader at the table for every enterprise close.<\/li>\n<li>Stand up audit-readiness in advance of Series B.<\/li>\n<li>Partner with CEO on geographic expansion math, M&A signals (acquihires, tuck-ins), and pricing 2.0.<\/li>\n<\/ul>\n\n<p><strong>Year 2 and beyond<\/strong><br>\nSeries B prep and close. Team scales to 7\u201312. Audit, tax, treasury, FX program.<\/p>\n\n<h4>Requirements<\/h4>\n<h4>What makes us excited about you<\/h4>\n<p>You're a player-coach, and you're proud of it.<br>\nYou're not above the spreadsheet. You can build the model on a Saturday and present it to a Sequoia partner on Monday. You're hiring your first report, but you're also the one who fixes the broken VLOOKUP at 9pm because the board pack ships tomorrow. You'll grow out of the spreadsheet work \u2014 but not for 12 months, and you're clear-eyed about that.<\/p>\n\n<p>You're a first-principles thinker who loves to build.<br>\nYou see chaos \u2014 disconnected systems, copy-pasted spreadsheets, inconsistent definitions of ARR \u2014 and your brain instantly starts drawing the clean version. You have strong opinions on what \"good\" looks like and you know how to get there one quarter at a time.<\/p>\n\n<p>You're commercial, not just operational.<br>\nYou're as comfortable in a pricing conversation as a close. You can read a usage-based contract and tell the AE what to push back on. You've sat across from a CRO and made them change their mind on a pricing tier with one chart.<\/p>\n\n<p>You're AI-native \u2014 and you can prove it.<br>\nPulling from Salesforce, Stripe, accounting platforms, billing, and spreadsheets doesn't intimidate you. SQL is a plus. But what we really care about: you've already wired AI into your finance workflow \u2014 Claude, MCP servers, Cube, Pigment, Mosaic, custom GPTs, agentic automations. You can show us a workflow you built last quarter that compressed a finance task by 5\u201310x. You read MCP server release notes for fun. When a new tool drops, you've tried it before your CEO sends you the link.<br>\nWe are an AI company. Our finance leader uses AI like our engineers do \u2014 as the default, not the exception. If \"I'm excited to learn about AI\" is your answer to this, you're not the right person for this seat.<\/p>\n\n<p>You care about outcomes, not output.<br>\nYou want to move charts and real numbers \u2014 runway extended, gross margin lifted, fundraise closed at a better valuation. You're comfortable designing the metric and proving impact.<\/p>\n\n<p>You can sit at any table.<br>\nYou can sit with our CEO, an enterprise CFO at a $5B payments company, a Sequoia partner, a Jordan-based engineer, and an SDR \u2014 and translate seamlessly between them.<\/p>\n\n<p>You're creative and unafraid to be wrong.<br>\nYou generate ideas constantly, test them quickly, and iterate without ego. You'll change your mind in public when the numbers say so.<\/p>\n\n<h4>Bonus<\/h4>\n<ul>\n<li>Experience at a YC-backed SaaS company, ideally infra\/AI\/CX.<\/li>\n<li>Multi-entity, multi-currency operating experience (especially MENA + EU + US).<\/li>\n<li>Lived through one IPO, acquisition, or unicorn round as part of the finance team.<\/li>\n<li>Network into top-tier Series A\/B investors who would back our next round.<\/li>\n<li>Understand usage-based or hybrid pricing models in B2B SaaS.<\/li>\n<li>You've used an MCP server, custom GPT, or Claude-driven workflow inside a finance org. We will ask to see it.<\/li>\n<li>You contribute publicly on AI-in-finance \u2014 posts, talks, GitHub, Substack \u2014 even casually.<\/li>\n<\/ul><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p><strong>About Open<\/strong><br>\nOpen.cx is the unified AI customer support platform automating 70%+ of interactions for enterprises like MoneyGram and Mollie. Backed by Y Combinator, X by Unifonic, and Shorooq Partners, we recently raised $7M+ to scale our operations across MENA and globally. We are moving from a startup phase to a high-growth scale-up, and we need a financial architect to build the foundation for that growth \u2014 and stay with us all the way to the next decade of scale.<\/p>\n\n<h4>Your mandate<\/h4>\n<p>Own the financial engine of a company on a 3\u20135x ARR year, scaling from a handful of enterprise logos to category-contender status.<br>\nBuild the planning, reporting, and operating cadence that lets every team \u2014 GTM, product, ops \u2014 make sharper decisions, faster.<br>\nOwn the next two priced rounds. Build the model the leads will actually pressure-test. Quarterback diligence. Sit at the table for term sheets.<br>\nBe the partner who tells the founders the truth about the numbers \u2014 and the strategist who shapes pricing, packaging, market expansion, and headcount because of them.<br>\nIf you're successful, you'll materially shape Open's growth trajectory and be the finance leader on the cap table at every subsequent round.<\/p>\n\n<h4>What you'll do \u2014 year one<\/h4>\n<p>Today, finance at Open lives in the founders' heads, a few spreadsheets, and our outsourced accounting partner. Your first major mission is to turn that into a structured, compounding system \u2014 a single source of truth on revenue, cash, burn, runway, unit economics, and pipeline that the leadership team trusts and acts on every week \u2014 and that the Series A leads will buy.<\/p>\n\n<p><strong>First 100 days<\/strong><\/p>\n<ul>\n<li>Listen tour: founders, every GTM leader, every customer-facing team. Map how money actually moves today.<\/li>\n<li>Stand up the weekly metrics email and the monthly board pack v1.<\/li>\n<li>Clean up the chart of accounts, compress the close to 5 business days.<\/li>\n<li>Build the v1 forecast model that survives contact with reality. Run it weekly.<\/li>\n<li>Pick the finance stack (NetSuite or QBO + Stripe\/Maxio + Brex\/Ramp\/Pleo + Pigment\/Cube\/Mosaic).<\/li>\n<li>Diagnose the unit economics: AI cost per resolved ticket, gross margin by segment, CAC payback by channel.<\/li>\n<\/ul>\n\n<p><strong>Months 4\u20139<\/strong><\/p>\n<ul>\n<li>Quarterback the Series A. Model, narrative, data room, diligence, term-sheet review.<\/li>\n<li>Stand up multi-entity consolidation cleanly (EU\/US subsidiaries).<\/li>\n<li>Build the pricing and deal-desk function \u2014 enterprise contract reviews, custom terms, ASC 606 compliance.<\/li>\n<li>Establish board cadence and investor reporting that the next round's leads will trust.<\/li>\n<\/ul>\n\n<p><strong>Months 10\u201318<\/strong><\/p>\n<ul>\n<li>Hit the targeted ARR WIG. Be the finance leader at the table for every enterprise close.<\/li>\n<li>Stand up audit-readiness in advance of Series B.<\/li>\n<li>Partner with CEO on geographic expansion math, M&A signals (acquihires, tuck-ins), and pricing 2.0.<\/li>\n<\/ul>\n\n<p><strong>Year 2 and beyond<\/strong><br>\nSeries B prep and close. Team scales to 7\u201312. Audit, tax, treasury, FX program.<\/p>\n\n<h4>Requirements<\/h4>\n<h4>What makes us excited about you<\/h4>\n<p>You're a player-coach, and you're proud of it.<br>\nYou're not above the spreadsheet. You can build the model on a Saturday and present it to a Sequoia partner on Monday. You're hiring your first report, but you're also the one who fixes the broken VLOOKUP at 9pm because the board pack ships tomorrow. You'll grow out of the spreadsheet work \u2014 but not for 12 months, and you're clear-eyed about that.<\/p>\n\n<p>You're a first-principles thinker who loves to build.<br>\nYou see chaos \u2014 disconnected systems, copy-pasted spreadsheets, inconsistent definitions of ARR \u2014 and your brain instantly starts drawing the clean version. You have strong opinions on what \"good\" looks like and you know how to get there one quarter at a time.<\/p>\n\n<p>You're commercial, not just operational.<br>\nYou're as comfortable in a pricing conversation as a close. You can read a usage-based contract and tell the AE what to push back on. You've sat across from a CRO and made them change their mind on a pricing tier with one chart.<\/p>\n\n<p>You're AI-native \u2014 and you can prove it.<br>\nPulling from Salesforce, Stripe, accounting platforms, billing, and spreadsheets doesn't intimidate you. SQL is a plus. But what we really care about: you've already wired AI into your finance workflow \u2014 Claude, MCP servers, Cube, Pigment, Mosaic, custom GPTs, agentic automations. You can show us a workflow you built last quarter that compressed a finance task by 5\u201310x. You read MCP server release notes for fun. When a new tool drops, you've tried it before your CEO sends you the link.<br>\nWe are an AI company. Our finance leader uses AI like our engineers do \u2014 as the default, not the exception. If \"I'm excited to learn about AI\" is your answer to this, you're not the right person for this seat.<\/p>\n\n<p>You care about outcomes, not output.<br>\nYou want to move charts and real numbers \u2014 runway extended, gross margin lifted, fundraise closed at a better valuation. You're comfortable designing the metric and proving impact.<\/p>\n\n<p>You can sit at any table.<br>\nYou can sit with our CEO, an enterprise CFO at a $5B payments company, a Sequoia partner, a Jordan-based engineer, and an SDR \u2014 and translate seamlessly between them.<\/p>\n\n<p>You're creative and unafraid to be wrong.<br>\nYou generate ideas constantly, test them quickly, and iterate without ego. You'll change your mind in public when the numbers say so.<\/p>\n\n<h4>Bonus<\/h4>\n<ul>\n<li>Experience at a YC-backed SaaS company, ideally infra\/AI\/CX.<\/li>\n<li>Multi-entity, multi-currency operating experience (especially MENA + EU + US).<\/li>\n<li>Lived through one IPO, acquisition, or unicorn round as part of the finance team.<\/li>\n<li>Network into top-tier Series A\/B investors who would back our next round.<\/li>\n<li>Understand usage-based or hybrid pricing models in B2B SaaS.<\/li>\n<li>You've used an MCP server, custom GPT, or Claude-driven workflow inside a finance org. We will ask to see it.<\/li>\n<li>You contribute publicly on AI-in-finance \u2014 posts, talks, GitHub, Substack \u2014 even casually.<\/li>\n<\/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 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>The senior network engineer is responsible for leading and executing enterprise-wide migration initiatives from public to private IP addressing across applications, databases, servers, and network devices. This role ensures secure, resilient, and uninterrupted service delivery through careful planning, dependency analysis, execution, validation, and documentation of network changes in complex on-premises, cloud, or hybrid environments.</p> <h4>Key responsibilities</h4> <ul> <li>Conduct a comprehensive assessment of all servers, applications, databases, and network devices currently using public IP addresses.</li> <li>Develop a detailed IP migration plan covering timelines, phased execution, backup strategies, and service rollback procedures when required.</li> <li>Perform application and service dependency analysis to identify and mitigate the impact of IP address migration on interconnected systems.</li> <li>Design and allocate new private IP address ranges, ensuring full compatibility with the existing network architecture and infrastructure standards.</li> <li>Execute the migration from public to private IP addresses in a secure and controlled manner, while maintaining continuous operation of business-critical applications and services.</li> <li>Coordinate with security, systems, application, and operations teams to align firewall rules, routing, NAT, DNS, and access controls with the new private addressing model.</li> <li>Perform post-migration validation and testing to confirm service availability, performance, and network stability.</li> <li>Prepare and maintain comprehensive documentation for all migration phases, including implemented changes, encountered issues, root causes, and applied solutions.</li> <li>Assess and analyze all DNS records to identify unused, obsolete, or outdated entries.</li> <li>Classify DNS records based on criticality, activity level, and operational validity.</li> <li>Remove or update invalid, obsolete, or unnecessary DNS entries in accordance with approved change procedures.</li> <li>Ensure that DNS cleanup activities do not impact applications, services, or end users.</li> <li>Establish periodic review procedures to maintain the accuracy and health of DNS records on an ongoing basis.</li> <li>Document all DNS review, cleanup activities, and applied changes for audit, compliance, and operational reference.</li> </ul> <h4>Requirements</h4> <h4>Required technical skills & experience</h4> <ul> <li>Strong expertise in enterprise network design, IP addressing (IPv4/IPv6), subnetting, and routing protocols.</li> <li>Hands-on experience with IP address migration projects in large-scale environments (on-prem, cloud, or hybrid).</li> <li>Solid knowledge of firewalls, load balancers, DNS, NAT, VPNs, and network security controls.</li> <li>Experience working with high-availability and mission-critical environments, ensuring zero or minimal downtime.</li> <li>Ability to analyze complex application-to-network dependencies.</li> <li>Familiarity with change management, rollback planning, and disaster recovery practices.</li> </ul> <h4>Soft skills & professional competencies</h4> <ul> <li>Strong analytical and problem-solving skills</li> <li>Excellent documentation and technical reporting capabilities</li> <li>Ability to work under pressure and manage high-risk infrastructure changes</li> <li>Effective communication with technical and non-technical stakeholders</li> </ul> <h4>Education & certifications (preferred)</h4> <ul> <li>Bachelor’s degree in computer science, information technology, or a related field</li> <li>Relevant certifications such as CCNP/CCIE, JNCIP/JNCIE, Infoblox technical certifications or equivalent are highly preferred.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The senior network engineer is responsible for leading and executing enterprise-wide migration initiatives from public to private IP addressing across applications, databases, servers, and network devices. This role ensures secure, resilient, and uninterrupted service delivery through careful planning, dependency analysis, execution, validation, and documentation of network changes in complex on-premises, cloud, or hybrid environments.</p> <h4>Key responsibilities</h4> <ul> <li>Conduct a comprehensive assessment of all servers, applications, databases, and network devices currently using public IP addresses.</li> <li>Develop a detailed IP migration plan covering timelines, phased execution, backup strategies, and service rollback procedures when required.</li> <li>Perform application and service dependency analysis to identify and mitigate the impact of IP address migration on interconnected systems.</li> <li>Design and allocate new private IP address ranges, ensuring full compatibility with the existing network architecture and infrastructure standards.</li> <li>Execute the migration from public to private IP addresses in a secure and controlled manner, while maintaining continuous operation of business-critical applications and services.</li> <li>Coordinate with security, systems, application, and operations teams to align firewall rules, routing, NAT, DNS, and access controls with the new private addressing model.</li> <li>Perform post-migration validation and testing to confirm service availability, performance, and network stability.</li> <li>Prepare and maintain comprehensive documentation for all migration phases, including implemented changes, encountered issues, root causes, and applied solutions.</li> <li>Assess and analyze all DNS records to identify unused, obsolete, or outdated entries.</li> <li>Classify DNS records based on criticality, activity level, and operational validity.</li> <li>Remove or update invalid, obsolete, or unnecessary DNS entries in accordance with approved change procedures.</li> <li>Ensure that DNS cleanup activities do not impact applications, services, or end users.</li> <li>Establish periodic review procedures to maintain the accuracy and health of DNS records on an ongoing basis.</li> <li>Document all DNS review, cleanup activities, and applied changes for audit, compliance, and operational reference.</li> </ul> <h4>Requirements</h4> <h4>Required technical skills & experience</h4> <ul> <li>Strong expertise in enterprise network design, IP addressing (IPv4/IPv6), subnetting, and routing protocols.</li> <li>Hands-on experience with IP address migration projects in large-scale environments (on-prem, cloud, or hybrid).</li> <li>Solid knowledge of firewalls, load balancers, DNS, NAT, VPNs, and network security controls.</li> <li>Experience working with high-availability and mission-critical environments, ensuring zero or minimal downtime.</li> <li>Ability to analyze complex application-to-network dependencies.</li> <li>Familiarity with change management, rollback planning, and disaster recovery practices.</li> </ul> <h4>Soft skills & professional competencies</h4> <ul> <li>Strong analytical and problem-solving skills</li> <li>Excellent documentation and technical reporting capabilities</li> <li>Ability to work under pressure and manage high-risk infrastructure changes</li> <li>Effective communication with technical and non-technical stakeholders</li> </ul> <h4>Education & certifications (preferred)</h4> <ul> <li>Bachelor’s degree in computer science, information technology, or a related field</li> <li>Relevant certifications such as CCNP/CCIE, JNCIP/JNCIE, Infoblox technical certifications or equivalent are highly preferred.</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 Mechanical Engineering or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+);</li> <li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<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 Mechanical Engineering or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+);</li> <li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><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>Generate prompts that challenge AI;</li> <li>Evaluate AI-generated solutions for correctness, assumptions, and logic;</li> <li>Improve AI reasoning to align with first principles and accepted standards;</li> <li>Apply structured scoring criteria to assess multi-step problem solving.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for legal consultants, attorneys with experience in US law open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in law (Bachelor, J.D., LLM, FLLM) within the US context</li> <li>2+ years of legal practice experience within US jurisdiction</li> <li>Strong written English (C1/C2)</li> <li>Stable internet connection</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 $44 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>