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<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for a versatile, highly skilled Graphic Designer to join the Tendem project (**https://tendem.<br>ai/**) andcreate high-quality visual assets for real-world use cases.<br> In this role, you'll apply your expertise in visual communication, layout design, and branding to transform ideas into professional, polished creative assets.<br> This part-time remote opportunity is ideal for creative professionals with hands-on experience in visual communications, layout design, and creating diverse marketing materials.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Graphic Designer, your focus will be on layouts, infographics, social media templates, and overall visual polish.<br> We need a versatile, all-around graphic designer to handle diverse visual tasks, utilizing industry-standard tools to structure information cleanly and effectively.<br> Key Responsibilities Own the creation of clean layouts, modern infographics, and establish a clear visual hierarchy to ensure readable and engaging content.<br> Design highly engaging, reusable templates for various social media channels, as well as impactful one-pagers.<br> Elevate everyday materials by working deeply with advanced typography, grid systems, and thoughtful composition.<br> Transform raw data and concepts into professional, polished visual assets tailored to specific marketing and communication goals.<br> Enforce design quality standards through systematic verification of visual alignment, color usage, and layout consistency prior to delivery.<br> Important note Please submit your CV in English.<br> Your CV must include a link to your portfolio with examples of your work — applications without a portfolio link will not be considered.<br> This is project-based freelance work.<br> Tasks are available only when projects are active.<br> You may be invited to one or more projects depending on your profile and current opportunities.<br> How to get started Simply apply to this post, complete the qualification process, and get the chance to contribute to projects aligned with your skills — on your own schedule.<br> Requirements Educational qualifications At least 1-2 years of relevant experience in graphic design, digital design, or visual communications is desirable.<br> Bachelor’s or Master’s Degree in Graphic Design, Visual Arts, or related creative fields is a plus.<br> Academic and/or Professional Experience Candidates must have a strong, diverse portfolio showcasing a wide variety of formats (such as social media graphics, marketing collateral, and one-pagers).<br> We are looking for versatile specialists with an exceptional grasp of typography, visual composition, and grid systems.<br> An adaptable, fast-paced, and detail-oriented approach is essential, along with the ability to work independently to solve visual challenges.<br> Technical Skills (Essential) Layout &amp; Typography: Exceptional grasp of typography, precise grid systems, and visual composition to elevate everyday materials.<br> Visual Asset Creation: Proven ability to structure information cleanly through modern infographics and compelling social media templates.<br> Design Tools: Deep proficiency with Adobe Creative Suite (Illustrator, Photoshop, InDesign) and Figma to handle a wide spectrum of visual tasks.<br> Format Versatility: Seamlessly switch between designing impactful one-pagers and highly engaging digital templates, adapting to the constraints of each medium.<br> Additional requirements An adaptable, fast-paced, and detail-oriented mindset.<br> Strong dedication to delivering visually polished, professional-grade assets.<br> Self-directed work ethic with the ability to manage diverse visual tasks simultaneously.<br> Your CV must include a link to your portfolio with graphic design examples.<br> Applications without a portfolio link, or without relevant graphic design cases, will not be considered.<br> English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $45 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<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>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is NOT:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p><\/p><p><\/p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>The Head of Design will lead the design direction across our client's digital products and customer journeys.<br> This role sits at the intersection of product design, customer experience, growth, and brand expression.<br> The right person will create experiences that are simple, trustworthy, commercially effective, and scalable.<br> This is a hands-on leadership role for someone who can think strategically, raise the quality bar, and stay close to execution, working closely with Product, Engineering, Marketing, Strategy, Commercial, and Operations to shape product experiences, customer journeys, and growth surfaces across the business.<br> What you'll do: Own company's design strategy and shape the end-to-end experience across mobile, web, partner channels, and internal tools, optimizing clarity, trust, usability, and conversion.<br> Set the strategic direction for critical journeys across onboarding, payments, financing, property services, and lifecycle touchpoints, building trust in high-consideration financial moments.<br> Partner with Product, Engineering, Marketing, Strategy, Commercial, and Operations to turn business goals, customer insight, and experimentation into effective experiences and growth journeys.<br> Build and evolve the design system, including components, patterns, and standards that help the business scale with consistency and speed.<br> Raise the quality bar through design reviews and QA, while leading, mentoring, and developing the design team and establishing high-standard collaborative rituals.<br> What we're looking for: Senior product design leadership experience on consumer-facing digital products, in one or more of the following domains: fintech, consumer finance, payments, BNPL, embedded finance, digital banking, wallets, proptech, or marketplaces.<br> A portfolio of shipped products, complex journeys, and measurable business impact, especially across high-consideration flows such as onboarding, activation, checkout, or credit decisioning Product thinking and a broad craft range across UX, UI, interaction, and growth design, with the ability to connect design decisions directly to business outcomes.<br> A track record of building and scaling design systems, reusable components, and standards across multiple product surfaces.<br> Experience leading, mentoring, and growing designers, while establishing a high-quality bar for the team.<br> Strongly preferred: Experience at a high-growth regional or global consumer platform, such as Tabby, Ziina, Wio, Careem, Tamara, or similar.<br> Experience in the UAE, GCC, or wider MENA market.<br> Background in embedded finance, BNPL, credit, payment flexibility, wallets, or affordability-based journeys.<br> Experience designing across B2C, B2B2C, and partner-led distribution models.<br> What success looks like The company's product experience is clearer, more consistent, and more scalable across surfaces.<br> Customer journeys are easier to understand, more trustworthy, and more conversion-oriented.<br> The design system measurably improves speed, consistency, and quality across product delivery.<br> Design is a stronger partner to Product, Engineering, Marketing, Strategy, and Commercial teams.<br> Design quality improves release over release, with better UX thinking, cleaner execution, and clearer alignment to business outcomes.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><strong>Key Responsibilities:</strong> <ul> <li>Develop and execute comprehensive SEO strategies to improve organic traffic, rankings, and conversions.</li> <li>Conduct keyword research, competitor analysis, and search intent analysis to identify growth opportunities.</li> <li>Create and optimize SEO-friendly content, including blog posts, landing pages, case studies, and whitepapers.</li> <li>Optimize website structure, metadata, internal linking, and landing pages for improved search visibility and lead conversion.</li> <li>Perform technical SEO audits and resolve crawling, indexing, site speed, and Core Web Vitals issues.Track, analyze, and report on SEO KPIs, including rankings, organic traffic, CTR, bounce rates, and conversions.</li> <li>Develop and implement ethical link-building and backlink acquisition strategies.</li> <li>Implement structured data (Schema Markup) and SEO best practices across the website.</li> <li>Collaborate with developers to ensure SEO requirements are integrated into website updates and new features.</li> <li>Work closely with content, design, and marketing teams to align SEO with broader digital marketing objectives.</li> <li>Stay updated on search engine algorithm changes, AI search trends, and emerging SEO technologies and best practices.</li> <li>Support content strategy development based on keyword opportunities, audience behavior, and industry trends<br></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><div> <strong>Requirements:</strong> <ul> <li>3+ years of proven experience in SEO and content optimization.</li> <li>Strong understanding of Technical SEO, On-Page SEO, and Off-Page SEO.</li> <li>Hands-on experience with Google Analytics, Google Search Console, Ahrefs, SEMrush, and WordPress.</li> <li>Familiarity with Core Web Vitals, page speed optimization, and mobile-first indexing.</li> <li>Experience with SEO reporting and performance analysis.</li> <li>Understanding of EEAT principles and modern search engine ranking factors.</li> <li>Familiarity with HTML, CSS, and JavaScript as related to SEO implementation.</li> <li>Experience with A/B testing, conversion rate optimization (CRO), and performance marketing.</li> <li>Knowledge of structured data and Schema Markup implementation.</li> <li>Ability to analyze large datasets and generate actionable insights.</li> <li>Excellent written communication and content optimization skills.</li> <li>Up-to-date with the latest SEO trends, algorithm updates, and AI-assisted search developments.</li> </ul> <br> </div> <div> <br> </div> <div> <strong>Education Requirements:</strong> <div>Bachelor s degree in Marketing, Communications, Information Technology, Computer Science, or a related field.</div> <br> </div><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<p>We are seeking a proactive and delivery-focused Mid-Level Scrum Master / Project Manager to join our technology team in Jordan or Lebanon. The successful candidate will be responsible for facilitating Agile delivery, coordinating cross-functional software development teams, managing project timelines, mitigating risks, and ensuring the successful delivery of high-quality digital products. This role requires someone with a strong understanding of Agile Scrum practices, project planning, stakeholder management, and software development lifecycles. The ideal candidate is an excellent communicator who can remove delivery impediments, foster team collaboration, and ensure projects are delivered on time and within scope.</p><p>Facilitate Scrum ceremonies including Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives. Coach Agile teams on Scrum principles, Agile best practices, and continuous improvement. Manage multiple software development projects from initiation through delivery. Collaborate with Product Owners to refine, prioritize, and manage the product backlog. Monitor sprint progress, velocity, burndown charts, and delivery metrics. Identify project risks, issues, and dependencies, and proactively implement mitigation plans. Coordinate activities between developers, QA engineers, UX/UI designers, DevOps engineers, and business stakeholders. Track project milestones, schedules, budgets, and resource allocation. Prepare project status reports and communicate progress to internal and external stakeholders. Ensure projects are delivered according to agreed scope, quality standards, timelines, and business objectives. Support release planning, sprint planning, and roadmap execution. Remove blockers impacting team productivity and delivery. Drive continuous process improvement across Agile teams. Facilitate effective communication between technical teams and business stakeholders. Maintain project documentation, sprint reports, RAID logs, meeting minutes, and project plans. Support change management and project governance activities.</p><p><strong>Desired Candidate Profile</strong></p><p>The successful candidate will be responsible for facilitating Agile delivery, coordinating cross-functional software development teams, managing project timelines, mitigating risks, and ensuring the successful delivery of high-quality digital products. This role requires someone with a strong understanding of Agile Scrum practices, project planning, stakeholder management, and software development lifecycles. The ideal candidate is an excellent communicator who can remove delivery impediments, foster team collaboration, and ensure projects are delivered on time and within scope.</p><ul><li>Facilitate Scrum ceremonies including Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives.</li><li>Coach Agile teams on Scrum principles, Agile best practices, and continuous improvement.</li><li>Manage multiple software development projects from initiation through delivery.</li><li>Collaborate with Product Owners to refine, prioritize, and manage the product backlog.</li><li>Monitor sprint progress, velocity, burndown charts, and delivery metrics.</li><li>Identify project risks, issues, and dependencies, and proactively implement mitigation plans.</li><li>Coordinate activities between developers, QA engineers, UX/UI designers, DevOps engineers, and business stakeholders.</li><li>Track project milestones, schedules, budgets, and resource allocation.</li><li>Prepare project status reports and communicate progress to internal and external stakeholders.</li><li>Ensure projects are delivered according to agreed scope, quality standards, timelines, and business objectives.</li><li>Support release planning, sprint planning, and roadmap execution.</li><li>Remove blockers impacting team productivity and delivery.</li><li>Drive continuous process improvement across Agile teams.</li><li>Facilitate effective communication between technical teams and business stakeholders.</li><li>Maintain project documentation, sprint reports, RAID logs, meeting minutes, and project plans.</li><li>Support change management and project governance activities.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>VirtuStaff is seeking a hands-on Full-Stack Software Engineer to join its Jordan-based pre-launch team and progressively bring the development and technical management of its SaaS platform in-house.</p><p>The successful candidate will initially work closely with VirtuStaff’s third-party technical team to complete a structured handover of the existing codebase, architecture, database, cloud environment, integrations and release processes. The engineer will gradually assume responsibility for resolving software defects, modifying workflows, developing new features, managing integrations, supporting releases and maintaining the platform’s day-to-day technical performance.</p><p>The role also includes supporting and improving VirtuStaff’s AI-enabled features, including candidate screening, profile analysis, candidate-to-role matching and workflow automation. These are practical product-level AI functions rather than advanced artificial-intelligence research. The engineer should be comfortable integrating AI services, managing prompts and structured outputs, troubleshooting AI-related workflows and working with external AI APIs or models.</p><p>The engineer will contribute across VirtuStaff’s candidate, client, HR, attendance, training, CRM and administrative systems while collaborating with the Founders, Operations, HR, Sales, Marketing and external technical partners.</p><p><br></p><p><b>Key Responsibilities</b></p><ul><li>Complete a structured handover from the existing third-party development team.</li><li>Understand and document the platform’s front end, back end, database, architecture, infrastructure and integrations.</li><li>Develop, test and release new platform features.</li><li>Modify existing candidate, client, HR, attendance, training and administrative workflows.</li><li>Diagnose and directly fix front-end, back-end, API, integration and database-related defects.</li><li>Gradually assume responsibility for routine platform development and maintenance.</li><li>Maintain and enhance AI-enabled candidate screening and matching workflows.</li><li>Integrate external AI APIs, language models or approved AI services into the platform.</li><li>Configure and improve prompts, structured outputs, validation rules and AI workflow logic.</li><li>Investigate inaccurate, missing, delayed or inconsistent AI-screening and matching results.</li><li>Work with HR and Management to translate approved candidate-matching rules into technical workflows.</li><li>Monitor AI-service errors, response quality, usage and integration performance.</li><li>Maintain safeguards so AI recommendations do not automatically replace approved human decisions.</li><li>Build and maintain CRM, email, analytics, payment, notification and third-party integrations.</li><li>Review application logs, browser errors, API responses and database records.</li><li>Maintain source code using Git, appropriate branching, version control and release documentation.</li><li>Support cloud environments, deployments, monitoring, backups and technical configuration.</li><li>Conduct UAT, regression testing, code reviews and post-release checks.</li><li>Apply appropriate authentication, permissions, privacy and data-security controls.</li><li>Maintain technical documentation, system diagrams and deployment instructions.</li><li>Coordinate with external developers when additional expertise or capacity is required.</li><li>Recommend improvements to platform security, reliability, performance and scalability.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Three to six years of professional full-stack software-development experience.</li><li>Experience developing and maintaining production web applications.</li><li>Strong front-end and back-end programming capability.</li><li>Experience working with relational databases and SQL.</li><li>Strong API, webhook and third-party integration experience.</li><li>Experience using Git, repositories, branches, pull requests and release processes.</li><li>Strong browser, server, database and integration debugging ability.</li><li>Familiarity with cloud hosting, deployment environments, monitoring and application logs.</li><li>Experience taking over or maintaining an existing codebase developed by another team.</li><li>Understanding of authentication, user roles, permissions, MFA and secure data handling.</li><li>Experience conducting UAT, regression testing and post-release verification.</li><li>Ability to translate business requirements into technical solutions.</li><li>Ability to write clean, maintainable and documented code.</li><li>Strong analytical and problem-solving ability.</li><li>Strong English communication; Arabic is strongly preferred.</li><li>Ability to work full-time from VirtuStaff’s Jordan office.</li></ul><p><br></p><p><b>AI-Related Experience</b></p><p>The candidate should also have at least some experience with:</p><ul><li>Integrating AI or large-language-model APIs into web applications.</li><li>Working with tools or services such as OpenAI, Azure OpenAI, Google AI, AWS AI services or equivalent platforms.</li><li>Sending application data to an AI service and processing structured responses.</li><li>Prompt configuration and prompt-version management.</li><li>JSON-based AI outputs and response validation.</li><li>AI-assisted classification, scoring, matching or recommendation workflows.</li><li>Handling AI errors, timeouts, incomplete responses and inconsistent results.</li><li>Protecting personal or confidential data when working with AI services.</li><li>Combining AI recommendations with human review and business rules.</li></ul><p><br></p><p><b>Preferred but Not Mandatory</b></p><ul><li>Experience with recruitment technology, HR platforms, marketplaces or applicant-tracking systems.</li><li>Experience developing candidate-matching, recommendation or ranking features.</li><li>Familiarity with embeddings, semantic search or vector databases.</li><li>Experience with automated testing, CI/CD and cloud security.</li><li>Basic knowledge of Python for AI-service integrations or data processing.</li><li>Experience with AI monitoring, evaluation or prompt testing.</li></ul><p><br></p></div>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<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>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $40\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<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>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $40\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <strong>Key Responsibilities : </strong> </p> <p>Analyze business and technical requirements and create comprehensive test plans and test cases.<br>Design, execute, and maintain manual and automated test suites.<br>Perform Functional, Regression, Integration, System, Smoke, Sanity, UAT, and End-to-End testing.<br>Conduct API testing using RESTful services and validate responses.<br>Perform database testing and data integrity validation using SQL.<br>Identify, document, track, and verify software defects.<br>Collaborate with developers and product teams throughout the SDLC and Agile ceremonies.<br>Participate in requirement reviews and provide feedback on testability and quality risks.<br>Maintain and enhance automation frameworks using tools such as Selenium, Playwright, Cypress, or Appium.<br>Integrate automated tests into CI/CD pipelines.<br>Mentor junior QA engineers and promote QA best practices.<br>Support performance testing activities when required. </p> <p> <br> </p> <p> <strong>Required Qualifications :</strong> </p> <p>Bachelor's degree in Computer Science, Software Engineering, or a related field.<br>5+ years of experience in Software Quality Assurance.<br>Strong knowledge of software testing methodologies and QA processes.<br>Hands-on experience with test automation tools such as Selenium, Playwright, Cypress, or Appium.<br>Strong SQL skills and experience with database validation.<br>Experience working in Agile/Scrum environments.<br>Knowledge of defect tracking and test management tools such as Jira, TestRail, or Azure DevOps.<br>Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI.<br>Strong analytical, troubleshooting, and communication skills</p></div></section>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<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>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<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>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n <li>5+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<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>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<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>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<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>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n <li>5+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply \u2192 Pass qualification(s) \u2192 Join a project \u2192 Complete tasks \u2192 Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>A high-growth startup company is looking for an agile, fast-learning Backend Engineer with 1–2 years of experience who thrives in a fast-paced, ever-changing environment and is eager to build reliable backend services while growing within the team.<br> You'll work closely with senior engineers, product managers, and frontend teams to develop APIs, support and maintain existing applications and internal tools, adapt quickly to shifting priorities, and contribute to scalable backend solutions that power our products.<br> Responsibilities : Design, develop, and maintain backend services and APIs under guidance from senior engineers, adapting quickly as requirements evolve.<br> Support, maintain, and improve existing applications and internal tools — fixing bugs, addressing tech debt, and keeping things running smoothly as the product evolves.<br> Build and maintain internal tools that help other teams (ops, support, product) work more efficiently.<br> Implement business logic and integrations that support product features, often under tight timelines.<br> Write clean, maintainable, and well-tested code following established backend standards.<br> Collaborate with frontend engineers, product managers, and designers — adjusting quickly to new information and shifting priorities.<br> Assist in optimizing system performance, reliability, and security across both new and existing systems.<br> Participate actively in sprint planning, stand-ups, and code reviews, bringing energy and flexibility to the team's iterative process.<br> Contribute to CI/CD pipelines, deployments, and basic monitoring activities.<br> Troubleshoot and resolve backend issues quickly and calmly, in both development and production environments — including legacy code you didn't originally write.<br> Respond to ad hoc requests for fixes, enhancements, or support on existing systems as business needs arise.<br> Guiding Principles &amp; Values: Data-Driven, Tech First Committed to Exceptional Experience Holistic Ownership Challenging the Status Quo Together for Growth No Finish Line Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).<br> 1–2 years of experience in backend development, ideally in a startup or fast-iteration environment.<br> Good proficiency in Node.<br>js / JavaScript for backend services.<br> Experience building and consuming APIs (REST).<br> Comfortable working within and maintaining existing codebases, not just building from scratch.<br> Basic understanding of databases (SQL and/or NoSQL) and data modeling concepts.<br> Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.<br> Basic experience with Git and modern development workflows.<br> Strong working knowledge of Agile/Scrum methodologies, with genuine comfort handling changing requirements and rapid iteration.<br> Strong problem-solving mindset, adaptability, and willingness to learn quickly.<br> Good communication skills and ability to work in a collaborative, fast-moving team environment.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>InSite are urban designers, planners and landscape architects who share a love for the craft of designing the built environment and consist of a diverse studio of designers from around the world. We are a diverse studio of designers from around the world with studios in Abu Dhabi, Dubai and Doha. InSite is a unique division of KEO International Consultants, a firm with over a half century of delivering projects throughout the Gulf and a proud legacy to match. We engage at the human scale when creating our places. Each is interrogated from a collaborative viewpoint, tailored to client s needs and ensuring sensitivity to the unique ecologies, cultures and the communities that we engage with.</p><p>Our newest opportunity is for a talented Senior/Lead Electrical Design Engineer to join our team based in Amman, Jordan. This critical role will work as part of the InSite team, developing electric designs across major Landscape and Urban projects across different project design stages. We envisage success in this role to include:</p><ul><li>Preparing and reviewing the design of power distribution infrastructure (Medium and Low Voltage distribution).</li><li>Preparing and reviewing the design of lighting design (streetlight).</li><li>Ensuring all calculations are prepared in accordance with the requirements of the Authority Standards and Codes of Practice as per the project location and requirements.</li><li>Coordination and day-to-day coaching to junior staff within this discipline.</li><li>Coordinating and giving technical guidance to CAD Technicians / BIM Technicians to produce drawings and models.</li><li>Preparing and reviewing technical reports, design drawings, and other deliverables.</li><li>Manage the discipline s team.</li><li>Monitoring the technical quality of the projects to ensure that the projects delivered to Clients are of the highest technical quality and engineering practice standard.</li><li>Coordinating with other disciplines to achieve a fully integrated design.</li><li>Liaising with the Client and Authority representatives to obtain design approvals, as necessary.</li><li>Providing discipline s input for technical proposals for submission to external parties.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><p>To be successful in this dynamic opportunity, we envision that you will have a minimum of a bachelor s degree in Electrical Engineering and more than 10 years of experience in a similar position. Having a membership of a professional institution is desirable. Furthermore, you should demonstrate:</p><ul><li>Proven experience in the infrastructure electric design.</li><li>Experience with Dialux, ETAP and other power systems software is an advantage.</li><li>Proficiency in software such as Autodesk AutoCAD and MS Office.</li><li>Knowledge in BIM and AutoCAD Civil 3D is an advantage.</li><li>Solid written and verbal communication skills in English.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<p><h4>Description</h4> <p>We're looking for a hands-on data quality analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br> You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Validate data displayed across dashboards, reports, web, and mobile applications</li> <li>Reconcile source data, transformed datasets, and final analytical outputs</li> <li>Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports</li> <li>Ensure consistency of metrics across multiple dashboards and reporting platforms</li> <li>Validate business rules and ensure reported figures align with approved definitions</li> <li>Identify data discrepancies and investigate inconsistencies before release</li> <li>Support user acceptance testing (UAT) for dashboards, reports, chatbots, and other analytical products</li> <li>Act as the quality gate before dashboards and reports are released to end users</li> <li>Log, track, and support the resolution of data quality issues</li> <li>Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues</li> <li>Maintain documentation for reconciliation rules, report logic, and validation processes</li> <li>Contribute to improving reporting standards, validation checklists, and quality practices</li> </ul> <h4>You're our match if you have</h4> <ul> <li>3–5 years of experience in data quality, business intelligence, analytics, or reporting assurance</li> <li>Hands-on experience validating dashboards, reports, or business intelligence solutions</li> <li>Strong SQL skills for data validation, reconciliation, and comparison</li> <li>Experience working with Power BI, Tableau, or similar reporting platforms</li> <li>Strong understanding of KPIs, metrics, business rules, and calculation logic</li> <li>Experience working with enterprise data sources such as ERP, CRM, or HCM systems</li> <li>Excellent analytical skills with exceptional attention to detail</li> <li>Ability to communicate data issues clearly to both technical and business stakeholders</li> <li>Strong sense of ownership and commitment to data accuracy</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Validating analytics for web or mobile applications</li> <li>Government or enterprise reporting environments</li> <li>Data governance, reporting standards, or data quality frameworks</li> <li>Supporting executive-level reporting</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We're looking for a hands-on data quality analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br> You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Validate data displayed across dashboards, reports, web, and mobile applications</li> <li>Reconcile source data, transformed datasets, and final analytical outputs</li> <li>Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports</li> <li>Ensure consistency of metrics across multiple dashboards and reporting platforms</li> <li>Validate business rules and ensure reported figures align with approved definitions</li> <li>Identify data discrepancies and investigate inconsistencies before release</li> <li>Support user acceptance testing (UAT) for dashboards, reports, chatbots, and other analytical products</li> <li>Act as the quality gate before dashboards and reports are released to end users</li> <li>Log, track, and support the resolution of data quality issues</li> <li>Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues</li> <li>Maintain documentation for reconciliation rules, report logic, and validation processes</li> <li>Contribute to improving reporting standards, validation checklists, and quality practices</li> </ul> <h4>You're our match if you have</h4> <ul> <li>3–5 years of experience in data quality, business intelligence, analytics, or reporting assurance</li> <li>Hands-on experience validating dashboards, reports, or business intelligence solutions</li> <li>Strong SQL skills for data validation, reconciliation, and comparison</li> <li>Experience working with Power BI, Tableau, or similar reporting platforms</li> <li>Strong understanding of KPIs, metrics, business rules, and calculation logic</li> <li>Experience working with enterprise data sources such as ERP, CRM, or HCM systems</li> <li>Excellent analytical skills with exceptional attention to detail</li> <li>Ability to communicate data issues clearly to both technical and business stakeholders</li> <li>Strong sense of ownership and commitment to data accuracy</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Validating analytics for web or mobile applications</li> <li>Government or enterprise reporting environments</li> <li>Data governance, reporting standards, or data quality frameworks</li> <li>Supporting executive-level reporting</li> </ul></p><p></p>