وظائف مُحسِّن محركات البحث

<p><h4>Responsibilities</h4> <p>Perform all-source intelligence analysis related to military actions, insurgent activities, economic and political activities, and threats to regional stability.<br> Research, develop, present, and publish all-source intelligence products at the tactical, operational, and strategic levels.</p> <h4>Requirements</h4> <ul> <li>Active TS/SCI clearance</li> <li>Associate's degree or four years of direct relevant intelligence analysis experience</li> <li>At least four years analytical experience at the tactical/operational level within DoD or equivalent government agencies</li> <li>Requires former MOS 35F, 350F, 18F, 35D, 34A, or equivalent specialty codes such as USMC – 0204, 0210, 0211 - Counterintelligence/Human Intelligence Specialist, 0231 Intelligence Specialist, US Navy – Navy Intelligence Specialist, USAF - 1N051 All Source Intelligence Analyst, 1N771 Human Intelligence Specialist, 1N451A Intelligence Fusion Analyst</li> <li>Proficient in utilizing standard computer applications and intelligence related automation to support analytical efforts and product development</li> <li>Possess strong research, analytical, and writing skills</li> <li>Be capable of effectively operating as a member of an analytical team from a remote location in support of CJOA-A requirements</li> <li>Briefing skills to include the ability to clearly articulate information</li> </ul> <h4>Desired qualifications</h4> <ul> <li>Bachelor's degree</li> <li>Experience in either CT, Afghanistan/SWA regional issues, HUMINT, CI, or military analysis</li> <li>OSINT/PAI research and analytical experience</li> </ul></p><p></p>

<p><h4>About Lucidya<\/h4>\n<p>Lucidya is an AI-native platform for customer experience (CX) intelligence that helps organizations understand, engage, and retain customers at scale.<\/p>\n<p>Unlike traditional platforms that stop at reporting and dashboards, Lucidya combines proprietary AI, deep language understanding, and autonomous workflows to help organizations move from insight to action. Our technology is built in-house and trained on millions of multilingual customer conversations, enabling brands across the MENA region to make better decisions, deliver better experiences, and build stronger customer relationships.<\/p>\n<p>As AI reshapes how businesses operate, we're building products that make customer understanding faster, more accurate, and more actionable than ever before.<\/p>\n\n<h4>Why this role matters<\/h4>\n<p>Most organizations today are overwhelmed with customer data.<\/p>\n<p>Conversations are happening across social media, surveys, reviews, support tickets, messaging channels, and countless other touchpoints. The challenge isn't collecting the data anymore. It's knowing what matters and what to do next.<\/p>\n<p>The Monitoring & Research domain sits at the center of that challenge.<\/p>\n<p>This is where customers come to understand public perception, identify emerging trends, monitor competitors, measure customer sentiment, and uncover the insights that drive business decisions. It is one of the most strategically important parts of Lucidya's platform and one of the biggest opportunities for innovation as AI transforms how research and customer intelligence are done.<\/p>\n<p>As Senior Product Manager, you'll be responsible for shaping how thousands of users discover, trust, and act on insights generated from millions of customer conversations.<\/p>\n<p>You'll be joining a team that values ownership over hierarchy, customer outcomes over feature output, and learning over certainty. We move quickly, challenge assumptions, and expect product leaders to bring strong opinions while remaining open to changing their minds when the evidence says otherwise.<\/p>\n<p>If you're excited by complex customer problems, AI-powered products, and the opportunity to define the future of customer intelligence in a region where world-class solutions are still emerging, this role will give you significant room to make an impact.<\/p>\n\n<h4>What you'll do<\/h4>\n<p><strong>Own the future of Monitoring & Research at Lucidya<\/strong><br>\nYou'll define the vision, strategy, and roadmap across three key product areas:<\/p>\n<ul>\n<li>Social listening<\/li>\n<li>Managed channels analytics<\/li>\n<li>Voice of Customer (VoC)<\/li>\n<\/ul>\n<p>Your responsibility isn't simply delivering features. It's ensuring customers can confidently answer critical business questions about their customers, markets, competitors, and brand performance.<\/p>\n\n<p><strong>Turn customer signals into decisions<\/strong><br>\nYou'll spend significant time understanding how customers currently make decisions, where they struggle to find trustworthy insights, and what prevents them from taking action.<\/p>\n<p>You'll use those learnings to build products that help customers move beyond reporting and toward clear recommendations, meaningful insights, and measurable business outcomes.<\/p>\n\n<p><strong>Lead discovery before delivery<\/strong><br>\nYou'll challenge assumptions, validate problems, and ensure we're solving issues that matter before resources are committed.<\/p>\n<p>You'll regularly engage customers, prospects, Customer Success teams, and internal stakeholders to uncover opportunities and validate product direction.<\/p>\n<p>Success in this role means building the right thing, not simply building things quickly.<\/p>\n\n<p><strong>Raise the quality bar for AI-powered insights<\/strong><br>\nAs AI becomes increasingly central to our platform, you'll help define what \"trustworthy AI\" means in practice.<\/p>\n<p>You'll work closely with AI, Data, Design, and Engineering teams to improve:<\/p>\n<ul>\n<li>Insight accuracy<\/li>\n<li>Sentiment quality<\/li>\n<li>Explainability<\/li>\n<li>Relevance<\/li>\n<li>Customer trust<\/li>\n<\/ul>\n<p>You'll constantly ask whether an insight is genuinely useful, not just technically impressive.<\/p>\n\n<p><strong>Make difficult prioritization decisions<\/strong><br>\nNot every good idea belongs on the roadmap.<\/p>\n<p>You'll evaluate opportunities using customer feedback, product data, market insights, commercial priorities, and strategic impact.<\/p>\n<p>You'll make trade-offs transparently and help the organization understand why certain bets are worth making while others are not.<\/p>\n\n<p><strong>Drive product adoption and business impact<\/strong><br>\nYou'll closely monitor customer behavior, adoption patterns, retention drivers, churn signals, and feedback loops.<\/p>\n<p>You'll use those insights to continuously improve the product and ensure the work being delivered creates measurable value for both customers and the business.<\/p>\n\n<p><strong>Be a leader beyond product<\/strong><br>\nYou'll collaborate across Engineering, Design, AI, Customer Success, Sales, Marketing, and Leadership teams.<\/p>\n<p>You'll help create alignment, provide clarity during ambiguity, and contribute to building a culture where teams are empowered to solve problems rather than simply execute requirements.<\/p>\n\n<h4>Requirements<\/h4>\n<h4>Who you are<\/h4>\n<ul>\n<li>You have strong product fundamentals<br>\nYou have at least 5 years of product management experience, ideally within B2B SaaS environments.<br>\nYou know how to take a problem from discovery through validation, delivery, measurement, and iteration.<br>\nYou understand that product management is ultimately about creating customer and business value, not managing backlogs.<\/li>\n<li>You simplify complexity<br>\nYou're comfortable working with large datasets, analytics platforms, AI-powered products, or technically complex systems.<br>\nMore importantly, you know how to transform complexity into experiences that feel intuitive and useful to customers.<\/li>\n<li>You stay close to customers<br>\nYou don't rely solely on internal opinions to make decisions.<br>\nYou regularly speak with customers, investigate workflows, validate assumptions, and seek evidence before committing to a direction.<br>\nYou're naturally curious about how people work and where products create friction in their lives.<\/li>\n<li>You are comfortable making decisions with incomplete information<br>\nYou won't always have perfect data.<br>\nYou can balance analysis with action, make informed decisions under uncertainty, and adapt when new information becomes available.<\/li>\n<li>You communicate with clarity<br>\nYou can explain technical concepts to non-technical audiences and customer problems to technical teams.<br>\nYou build alignment through clear thinking, structured communication, and transparency.<\/li>\n<li>You care about outcomes<br>\nYou measure success by customer adoption, customer value, and business impact rather than the number of features released.<br>\nYou're willing to challenge existing thinking when you believe there's a better way to solve a problem.<\/li>\n<\/ul>\n\n<h4>Bonus points if you have<\/h4>\n<ul>\n<li>Experience with social listening, media monitoring, Voice of Customer, customer intelligence, or research platforms<\/li>\n<li>Experience building AI-powered, analytics-heavy, or data-intensive products<\/li>\n<li>Familiarity with sentiment analysis, NLP, LLMs, recommendation systems, or automated research workflows<\/li>\n<li>Experience working with Arabic-language products, dialects, or regional customer behaviors<\/li>\n<li>Knowledge of MENA markets, particularly Saudi Arabia and the GCC<\/li>\n<li>Experience with platforms such as Brandwatch, Sprinklr, Meltwater, Talkwalker, Qualtrics, Medallia, or Brand24<\/li>\n<\/ul>\n\n<h4>What success looks like<\/h4>\n<ul>\n<li>Within your first 12 months:<\/li>\n<li>Customers trust Lucidya's insights enough to use them in critical business decisions<\/li>\n<li>Product adoption and engagement across Monitoring & Research increase meaningfully<\/li>\n<li>AI-powered insight experiences become more accurate, actionable, and differentiated<\/li>\n<li>Clear product strategy and prioritization frameworks are established across the domain<\/li>\n<li>Customer feedback consistently influences roadmap decisions<\/li>\n<li>Cross-functional teams have strong alignment around goals, priorities, and outcomes<\/li>\n<\/ul>\n\n<p>Lucidya is an equal opportunity employer. We believe great teams are built through diverse experiences, perspectives, and backgrounds. If you're excited about the opportunity but don't meet every requirement, we encourage you to apply anyway.<\/p><\/p><p><\/p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Position: Executive Director</b></p><p><b>Sector: Jordanian Universities Network (JUNet)</b></p><p><b>Location: Amman, Jordan</b></p><p><b>Employment Type: Full-Time</b></p><p>The Jordanian Universities Network (JUNet) invites applications for the position of Executive</p><p>Director. JUNet is a non -profit company, serving as the Research and Education Network for</p><p>Jordanian Universities, connecting public universities and national sta keholders through a</p><p>high-performance digital infrastructure. It provides advanced ICT services including high -speed</p><p>internet, datacenter solutions, cybersecurity frameworks, and Microsoft cloud solution s.</p><p>The Executive Director will lead JUNet's operational growth, expand its services, and position</p><p>it as a leading enabler of research, education, and technological innovation both nationally and</p><p>regionally.</p><p><b>Responsibilities:</b></p><p>1. Lead the formulation and execution of JUNet's operational objectives, reporting to the</p><p>Board of Directors.</p><p>2. Directly oversee the three operational sections (IT Infrastructure &amp; Cybersecurity,</p><p>Financial and Administration, and Projects, Partnerships &amp; Planning ) ensuring</p><p>coordinated, efficient service delivery .</p><p>3. Oversee all operational aspects of the network in coordination with the IT Infrastructure</p><p>&amp; Cybersecurity Section, including network engineering, systems engineering, data</p><p>center operations, and cybersecurity .</p><p>4. Establish and manage advanced digital services such as CERT, Internet Peering,</p><p>Routing, Interconnectivity for universities, and Educational Licensing Solutions,</p><p>including Microsoft 365, Azure for Education, and academic licensing management.</p><p>5. Supervise, through the Projects, Partnerships &amp; Planning Section, the planning and</p><p>implementation of projects, proposal development, and documentation, ensuring</p><p>compliance with applicable requirements. Including contracts and legal matters.</p><p>6. Participate in procurement processes and public tenders in accordance with</p><p>Government Procurement Bylaws.</p><p>7. Foster and develop partnerships with local and international stakeholders, including</p><p>universities, ministries, and funding agencies, through Projects, Partnerships &amp;</p><p>Planning Section.</p><p>8. Ensure operational and financial sustainability - in coordination with the Financial and</p><p>Administration Section - through efficient service delivery, financial lifecycle</p><p>Jordanian Universities Network (JUNet) - Job Vacancies Form</p><p>management, cost optimization, and the development of new services and funding</p><p>models.</p><p>9. Engage the Strategic Advisory Council (SAC) for strategic input and recommendations,</p><p>and the Technical Advisory Council (TAC) and Technical Task Forces for technical</p><p>guidance on network, infrastructure, and cybersecurity matter s.</p><p>10. Coordinate with the Executive Secretary on administrative and governance matters, and</p><p>support the Audit and Control function's oversight of JUNet operations.</p><p>11. Represent JUNet in regional forums, promoting Jordan's presence in regional and</p><p>global research and education networks.</p><p>12. Promote JUNet's vision, services, achievements, and strategic initiatives across</p><p>professional networks (e.g., LinkedIn) and social media platforms (e.g., Facebook,</p><p>YouTube), enhancing visibility and engagement with stakeholders.</p><p><b>Candidate Profile:</b></p><p>1. Strong ICT track record in managing national -level digital infrastructure, datacenter</p><p>services, and IT networks, preferably within the higher education or a related secto r.</p><p>2. Strategic thinker with knowledge of ITIL -based service delivery, public tenders, and</p><p>stakeholder engagement across academia, government, and other partners .</p><p>3. Demonstrated ability to lead and coordinate multiple functional teams or sections</p><p>(technical, financial/administrative, and projects/partnerships) toward unified strategic</p><p>goals.</p><p><b>Minimum Qualifications:</b></p><p>1. A bachelor's degree in Information Technology, Computer Engineering, or a closely</p><p>related field. Rating: GOOD.</p><p>2. At least 5+ years of progressively responsible experience in the ICT field and IT</p><p>profession, preferably within the education sector, research institutions, or</p><p>government-affiliated digital transformation initiatives.</p><p>3. Jordanian citizen.</p><p>4. Proven track record in managing equivalent-scale IT businesses or organizations with</p><p>comparable operational structures.</p><p>5. Preferred IT Professional Certificates and Trainings: CCNA, MCSA, CISSP, CEH, CISM,</p><p>CISA, ITIL, or equivalent are a plus.</p><p>Preferred Qualifications:</p><p>1. Familiarity with international IT governance and frameworks .</p><p>2. Experience in managing multi-stakeholder projects in academic or national contexts.</p><p>3. Demonstrated ability to lead multidisciplinary teams and manage organizational</p><p>change.</p><p>4. Demonstrated ability to create and manage taskforce -based projects, including</p><p>engagement with advisory councils and technical task forces.</p><p>Jordanian Universities Network (JUNet) - Job Vacancies Form</p><p><b>Application Process:</b> Qualified candidates are invited to submit the following documents via</p><p>email to:<b> "Please visit JUNet Website"</b></p><p><b><span></span></b></p><p>1. Detailed CV including names and contact details of three professional references.</p><p>2. Cover Letter outlines qualifications, vision, and motivation for applying.</p><p>3. Academic Certificates (Equivalency of foreign academic degrees attested by the Ministry</p><p>of Higher Education and Scientific Research).</p><p>4. Copy of the civil status ID.</p><p><b>Application Deadline: October 10, 2026 at 23:59, Please include "Executive Director - JUNet"</b></p><p><b>in the subject line of your email.</b></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>leadership and Strategic Planning</li><li>ICT Infrastructure Management</li><li>Cybersecurity Governance</li><li>Project Management</li><li>Stakeholder Management</li><li>Business Development</li></ul></div>

<p>BACKGROUND ON IMPACT AND REACH IMPACT Initiatives is a humanitarian NGO, based in Geneva, Switzerland. The organisation manages several initiatives, including the REACH Initiative. The IMPACT team comprises specialists in data collection, management and analysis, GIS and remote sensing. IMPACT was launched at the initiative of ACTED, an international NGO with headquarters based in Paris and presence in thirty countries. The two organizations have a strong complementarity formalized in a global partnership, which allows IMPACT to benefit from ACTED s operational support in its fields of intervention. We are currently looking for an IMPACT Deputy Country Representative to oversee Programmes for the IMPACT oPt mission. The position is based in Amman with travel to oPt, including Gaza. Supervisor: IMPACT Country Representative Title :IMPACT Deputy Country Representative - Programmes Location: Amman, Jordan with travel to oPt Contract duration: 9 months Start date: ASAP COUNTRY PROFILE The humanitarian situation in the occupied Palestinian territories (oPt) has reached dire levels, particularly in the Gaza Strip, where ongoing hostilities have resulted in mass displacement, the collapse of basic services, and a near-total breakdown of civilian infrastructure. With 2.1 million people affected, access to food, water, healthcare, and shelter remains critically limited. The scale of destruction and access constraints have created an environment where humanitarian needs far exceed available resources. Together, these dynamics have driven acute and widespread humanitarian needs. In the West Bank, violence, displacement, and movement restrictions have intensified since October 2023. Israeli military operations - particularly in northern West Bank refugee camps such as Jenin and Tulkarm - have caused widespread destruction and displaced an estimated 40,000 Palestinians since early 2025. At the same time, escalating settler violence, demolitions, and access restrictions have increased protection risks and contributed to the displacement of Palestinian communities, particularly in Area C. Movement restrictions continue to fragment the territory, affecting the movement of approximately 3.3 million Palestinians and further constraining livelihoods, access to services, and humanitarian operations. Against this backdrop, IMPACT Initiatives is planning a range of research activities to support an evidence- and needs-based humanitarian response. The IMPACT Deputy Country Representative supports the Country Representative in overseeing programmes internally, as well as external representation of IMPACT.</p><p>POSITION PROFILE IMPACT is currently recruiting a Deputy Country Representative to, under the supervision of the IMPACT oPt Country Representative, oversee the programme management of IMPACT oPt. The role will involve oversight of all IMPACT oPt Research Cycles, line management of all Research Managers and Specialists, liaison with and reporting to donors, Human Resource management (recruitment and staff welfare), external engagement (external representation, partnership development, and maintenance), strategy development, through contextual understanding both of the crisis and the coordination structure, as well as striving for team cohesion. This person will be a key member of the IMPACT oPt Senior Management Team (SMT). The position will also at times serve as the Acting Country Representative in the absence of the CR. The position will be based in Amman with regular travel to IMPACT oPt bases.</p><p>RESPONSIBILITIES</p><p>Programmes Oversight and Quality Control • Provide high-level line-management to Research Managers (hereafter RMs), including effective delegation of day-to-day tasks to RMs, and ensuring all team members are fully aware of their job description, duties and responsibilities; • In coordination with the Country Representative, oversee that all Research Cycles and associated datasets are conducted in a timely manner, to IMPACT quality standards, and disseminated to relevant stakeholders, in line with the IMPACT oPt strategy and information needs of humanitarian actors; • Monitor the progress and delays of all Research Cycles across each units and ensure that delays or identified challenges for specific assessments are reported in writing and orally in a timely manner. • Ensuring that RMs are provided the programme management training, support, and resources required to effectively and independently manage their Research Cycles. This includes: • regular follow-up and check-ins to project plan and identify any challenges or bottlenecks; • supporting in building and maintaining external relationships as relevant; • empowering RMs to take personal responsibility for RCs, and proactively identifying areas where they lack the capacity to work independently. Resolve these issues by developing training plans, and supporting RMs in capacity building junior staff; • supporting project focal points as line-managers in developing strong and healthy teams, and maintaining staff welfare. • Review information products, to ensure that products are of high quality and effectively inform target audiences. • Together with the Country Representative, ensure that all team members and hubs are kept up-to-date on key activities, plans, and achievements; Together with the rest of the SMT, ensuring a good work environment and taking active steps to ensure staff welfare and ensure that all teams are working towards common goals. This will include building strong professional relationship, having good visibility of issues in teams through regular check-ins, as well as maintaining a professional, respectful, and supportive tone in the office.</p><p>Training and staff capacity development • Support technical and assessment focal points in developing the capacity of staff, for example by proactively organising trainings and development sessions; • Autonomously identify talent, capacity gaps, and staff who would benefit from specific trainings, particularly amongst national staff, including the Operations Team.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Excellent academic qualifications, including a Master's degree in relevant discipline required;</li><li>At least 5 years of relevant working experience in humanitarian, development or related settings, including at least 3 years in a programme management role;</li><li>Excellent team management, coordination, organisational and planning skills required, including ability to manage large workloads, oversee multiple teams and effectively meet deadlines, through an excellent ability to multi-task and prioritise;</li><li>Experience with external engagement (donors, partners and other key stakeholders) required;</li><li>Familiarity with the humanitarian coordination system required;</li><li>Sound judgment and emotional intelligence in high-pressure or sensitive situations. Possesses strong interpersonal awareness and the ability to respond constructively to feedback and shifting priorities;</li><li>Understanding of processes involved in conducting assessments required;</li><li>Excellent communication and drafting skills required for effective reporting;</li><li>Excellent analytical skills required;</li><li>Experience managing multiple budgets an asset;</li><li>Ability to work independently and manage people remotely required;</li><li>Demonstrable ability to work under pressure and meet competing deadlines required;</li><li>Solution-oriented, flexible, and open-minded, including ability to operate in a cross-cultural environment required;</li><li>Good understanding of the oPt context - past experience in the region is desirable;</li><li>Fluency in English required;</li><li>Ability to operate Microsoft Word and Excel required;</li><li>A sense of curiosity, the drive to improve the humanitarian sector, and ability to see the big picture</li></ul>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational 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 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 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 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 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 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 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>

<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>

<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 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>