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