Mining engineer Jobs

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Working closely with engineering, product and other business teams to communicate problem impacts and to understand business requirements. Strong knowledge of software testing principles and techniques, verification and validation techniques, and defect management. Defining the scope of testing within the context of each release/delivery. Identifies and analyzes issues, bugs, defects, and other problems, particularly when problems recur in multiple products; recommends and facilitates solutions to these issues. Maintain and run automation scripts for new functionality and regression testing. Write and implement automation scripts for API , Mobile , and Web. Good knowledge of software QA methodologies, tools and processes Identify, troubleshoot, and document issues thoroughly during bugs tracking. Excellent analytical, logical and problem-solving skills. Conduct all types of testing [Smoke Test, Ad-hoc test, System test, Integration test..etc]. Good Experience in API's testing using tools such as (Postman, Soap UI, Katalon). Familiar with SQL Queries Good experience in test frameworks such as Selenium or Appium. Good Experience developing automated UI and API tests Experience with Web testing elements such as HTML, CSS, XPath, etc. Ability to work in a fast-paced environment where team collaboration and personal pride in quality of work are highly valued.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>BS/MS degree in Computer Science, Engineering or a related subject 3+ years of progressive professional experience in Quality Control and Testing. 2+ years of experience writing automated tests, including integration, API, Mobile, Web and Performance.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Own the design and operation of internal automations and AI-powered agents. You'll turn API workflows into reliable, observable systems using n8n and LLMs.</p><p>Key Responsibilities :</p><ul><li>Build and maintain n8n workflows and custom nodes that orchestrate APIs, webhooks, and LLM calls.</li><li>Design AI-assisted flows (classification, extraction, summarization, decision support) with clear guardrails.</li><li>Implement secrets management, RBAC, rate limiting, and prompt-injection defenses.</li><li>Add monitoring, alerting, and cost tracking; set SLOs for critical automations.</li><li>Write concise docs/playbooks; enable self-serve patterns for teammates.</li><li>Continuously improve reliability, latency, and cost via testing and iteration.</li></ul><p>Strong hands-on with n8n (or Make/Zapier/Airflow) and REST/GraphQL APIs. Proficiency in Python or other programming languages for custom logic/integrations. Practical LLM experience (function calling, prompting, evaluation basics). Solid grasp of auth (OAuth2/JWT), webhooks, queues, retries, and idempotency. SQL fundamentals and basic NoSQL familiarity. Security mindset: data handling, secrets, dependency hygiene.</p><p>Nice-to-Haves GCP/AWS, Docker/Kubernetes, GitOps/CI. Observability (logs/metrics/traces). Exposure to LangChain or RPA/BPM concepts.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you are looking for , webook.com is Saudi s #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales.</p><p></p></section>

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

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About the Job As a Senior Jasper Reports Developer at Aspire, you will be responsible for designing, developing, and optimizing enterprise reporting solutions using Jaspersoft Studio (JasperReports). You will work closely with business stakeholders, database administrators, backend engineers, and QA teams to deliver scalable, high-performance reports that support business decision-making. This role requires strong expertise in SQL, Java, and report optimization, along with the ability to mentor junior developers and establish reporting best practices. What you'll do Lead the design, development, and maintenance of complex enterprise reports using Jaspersoft Studio (JasperReports). Design reusable report templates, sub reports, charts, cross tabs, and parameterized reports to support diverse business needs. Develop and optimize complex SQL queries, stored procedures, and database objects for reporting solutions. Integrate JasperReports with enterprise applications and APIs to deliver seamless reporting capabilities. Gather, analyze, and translate business requirements into scalable and maintainable reporting solutions. Optimize report performance for large datasets and high-volume environments. Troubleshoot production issues, perform root cause analysis, and implement effective resolutions. Ensure report quality, consistency, data accuracy, and security across reporting platforms. Establish reporting development standards, coding guidelines, and best practices. Conduct code reviews and mentor junior report developers to promote technical excellence. Support report deployment, version control, and release management activities. Collaborate with database administrators, backend developers, QA teams, and business stakeholders throughout the development lifecycle. Prepare and maintain technical documentation, knowledge base articles, and implementation guides.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's Degree in Computer Science, Information Technology, Software Engineering, or a related field.</li><li>Minimum of 5 years of hands-on experience developing enterprise reports using JasperReports/Jaspersoft Studio.</li><li>Strong expertise in SQL and relational databases such as Oracle, SQL Server, PostgreSQL, or MySQL.</li><li>Extensive experience with JRXML, report parameters, variables, expressions, sub reports, charts, and report optimization techniques.</li><li>Experience integrating JasperReports with Java-based applications using JasperReports APIs.</li><li>Strong knowledge of Java and object-oriented programming concepts.</li><li>Experience with Git and modern CI/CD pipelines.</li><li>Strong analytical, troubleshooting, and performance tuning skills.</li><li>Excellent communication and stakeholder management skills.</li><li>Experience working in Agile development environments is an advantage.</li><li>Familiarity with enterprise reporting architecture, data visualization, and reporting best practices is a plus.</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 5+ 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 paid Effort estimate Tasks for this project are estimated to take 20 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 $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<p>We are seeking an experienced Technical Architect to lead the design and implementation of technology solutions that support business objectives and align with enterprise architecture standards. The ideal candidate will combine strong technical expertise with strategic thinking to deliver scalable, secure, and high-performing solutions while providing technical leadership across projects. Key Responsibilities Design end-to-end technical architectures for enterprise systems, applications, and integrations. Develop architecture blueprints, technical specifications, and solution design documentation. Evaluate, recommend, and select appropriate technologies, frameworks, platforms, and tools based on business and technical requirements. Provide technical leadership and guidance to development teams throughout the software development lifecycle. Ensure solutions are scalable, secure, maintainable, and aligned with industry best practices and organizational standards. Conduct architecture and code reviews to ensure compliance with technical standards and quality requirements. Collaborate with business analysts, project managers, product owners, and key stakeholders to translate business requirements into effective technical solutions. Identify technical risks, dependencies, and constraints, and develop mitigation strategies. Design and oversee system integration approaches to ensure seamless interoperability between applications and platforms. Stay up to date with emerging technologies, industry trends, and architectural best practices to drive innovation. Mentor and support junior architects, developers, and technical team members by promoting knowledge sharing and continuous improvement.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field. Proven experience in solution or technical architecture, software design, and enterprise application development. Strong understanding of cloud platforms, system integration, APIs, microservices, and enterprise architecture principles. Experience with modern development frameworks, databases, and DevOps practices. Excellent analytical, problem-solving, and communication skills. Ability to collaborate effectively with cross-functional teams and influence technical decisions. Relevant architecture or cloud certifications are considered an advantage.</p>

<p><h4>Description</h4> <p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?</p> <p>If yes, then this is the job you're looking for. UXBERT Labs is one of the leading digital and user experience design agencies in the GCC, working with top regional and international brands such as STC, Amazon, Gucci, and more. As part of the Supertech Group—which also includes Hala Yalla, Saudi's number one private event ticketing and experience booking platform, and Kafu Games, the largest esports tournament platform in MENA—we are continuously expanding our innovation footprint.</p> <h4>Responsibilities:</h4> <ul> <li><strong>CI/CD & Automation:</strong> Design, implement, and manage robust CI/CD pipelines for Node.js and React applications using GitHub Actions and Bitbucket Pipelines across development, staging, and production environments.</li> <li><strong>Infrastructure as Code (IaC):</strong> Maintain and scale cloud infrastructure using Terraform or CloudFormation.</li> <li><strong>Containerization & Orchestration:</strong> Containerize applications using Docker and orchestrate using Kubernetes (optional). Excellent experience working on Kubernetes clusters such as GKE or AKS is a plus.</li> <li><strong>Monitoring & Observability:</strong> Monitor system health, security, and performance. Solid experience with New Relic, Datadog, and APM, including setting up APM cadence, alerts, and rules and policies for support and disaster management.</li> <li><strong>Cloud & Networking:</strong> Excellent experience with cloud-based VPC and networking within load balancing and orchestration.</li> <li><strong>Future-Proofing:</strong> Ability to learn fast and understand emerging technologies such as large language models, complex CI/CD setups in the future, including AI machine learning and AI coding.</li> </ul> <h4>Requirements</h4> <ul> <li><strong>Development & Infrastructure:</strong> Strong skills in quickly setting up servers in Node.js, whitelisting IPs, and providing Docker and secure environments for developers, production, and testers.</li> <li><strong>Coding Background:</strong> Seven or more years of DevOps experience across cloud platforms. An engineering background in PHP or a strong programming background is beneficial; solid JavaScript or Python skills are a must.</li> <li><strong>Cloud & Caching Expertise:</strong> Proficiency with both GCP and AWS is required. Must have solid experience with CDNs, CloudFlare, and configuration of complex caching in Redis and more. GCP certification is highly advantageous as Saudi Arabia prefers to work with GCP.</li> <li><strong>Database & Scaling:</strong> Understanding of database setup, high scaling, and high traffic sites both with and without CloudFlare. Experience with complex database optimization, data flow diagrams, and migration.</li> <li><strong>Modern Workflows:</strong> Experience with Vercel for front-end deployment workflows.</li> <li><strong>Environment Familiarity:</strong> Familiarity with Node.js environments, Linux, and monitoring tools.</li> <li><strong>AI Integration:</strong> Engineers must incorporate AI-assisted coding tools such as Claude, Grok, or ChatGPT as part of their daily work.</li> </ul> <h4>Benefits</h4> <ul> <li>Fully remote role (must align with Saudi Arabia working hours).</li> <li>Opportunity to work on high-impact Saudi government and enterprise projects.</li> <li>Collaborative culture with strong design and engineering teams.</li> <li>Competitive salary.</li> <li>Professional development budget for certifications and training.</li> </ul></p><p></p>

<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 5+ 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 paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<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>Syarah is on a mission to change how people buy their cars in Saudi and the Middle East. We offer buyers an end-to-end digital car buying experience where they can buy their next car from the comfort of their living rooms. Under the hood, we build systems to manage sourcing of cars, inspection, photography, merchandising, reconditioning, financing, insurance, shipping and many more. Our goal is to turn car buying into an experience of delight, comfort and peace of mind.</p> <p>We are on the lookout for ambitious, competitive, growth-minded professionals to help us continue to harness technology to delight our customers and achieve our ambitious growth objectives in the auto sector.</p> <p>All Syarah employees are expected to work in accordance with Syarah core values: Tolerance, Transparency, Respect, Integrity and Positivity.</p> <h4>Responsibilities:</h4> <ul> <li>Working closely with engineering, product and other business teams to communicate problem impacts and to understand business requirements.</li> <li>Strong knowledge of software testing principles and techniques, verification and validation techniques, and defect management.</li> <li>Defining the scope of testing within the context of each release/delivery.</li> <li>Identifies and analyzes issues, bugs, defects, and other problems, particularly when problems recur in multiple products; recommends and facilitates solutions to these issues.</li> <li>Maintain and run automation scripts for new functionality and regression testing.</li> <li>Write and implement automation scripts for API, Mobile, and Web.</li> </ul> <h4>Requirements</h4> <ul> <li>Good knowledge of software QA methodologies, tools and processes.</li> <li>Identify, troubleshoot, and document issues thoroughly during bugs tracking.</li> <li>Excellent analytical, logical and problem-solving skills.</li> <li>Conduct all types of testing [Smoke Test, Ad-hoc test, System test, Integration test, etc.].</li> <li>Good experience in APIs testing using tools such as Postman, Soap UI, Katalon.</li> <li>Familiar with SQL queries.</li> <li>Good experience in test frameworks such as Selenium or Appium.</li> <li>Good experience developing automated UI and API tests.</li> <li>Experience with web testing elements such as HTML, CSS, XPath, etc.</li> <li>Ability to work in a fast-paced environment where team collaboration and personal pride in quality of work are highly valued.</li> </ul> <h4>Education and Experience:</h4> <ul> <li>BS/MS degree in Computer Science, Engineering or a related subject.</li> <li>3+ years of progressive professional experience in Quality Control and Testing.</li> <li>2+ years of experience writing automated tests, including integration, API, Mobile, Web and Performance.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Syarah is on a mission to change how people buy their cars in Saudi and the Middle East. We offer buyers an end-to-end digital car buying experience where they can buy their next car from the comfort of their living rooms. Under the hood, we build systems to manage sourcing of cars, inspection, photography, merchandising, reconditioning, financing, insurance, shipping and many more. Our goal is to turn car buying into an experience of delight, comfort and peace of mind.</p> <p>We are on the lookout for ambitious, competitive, growth-minded professionals to help us continue to harness technology to delight our customers and achieve our ambitious growth objectives in the auto sector.</p> <p>All Syarah employees are expected to work in accordance with Syarah core values: Tolerance, Transparency, Respect, Integrity and Positivity.</p> <h4>Responsibilities:</h4> <ul> <li>Working closely with engineering, product and other business teams to communicate problem impacts and to understand business requirements.</li> <li>Strong knowledge of software testing principles and techniques, verification and validation techniques, and defect management.</li> <li>Defining the scope of testing within the context of each release/delivery.</li> <li>Identifies and analyzes issues, bugs, defects, and other problems, particularly when problems recur in multiple products; recommends and facilitates solutions to these issues.</li> <li>Maintain and run automation scripts for new functionality and regression testing.</li> <li>Write and implement automation scripts for API, Mobile, and Web.</li> </ul> <h4>Requirements</h4> <ul> <li>Good knowledge of software QA methodologies, tools and processes.</li> <li>Identify, troubleshoot, and document issues thoroughly during bugs tracking.</li> <li>Excellent analytical, logical and problem-solving skills.</li> <li>Conduct all types of testing [Smoke Test, Ad-hoc test, System test, Integration test, etc.].</li> <li>Good experience in APIs testing using tools such as Postman, Soap UI, Katalon.</li> <li>Familiar with SQL queries.</li> <li>Good experience in test frameworks such as Selenium or Appium.</li> <li>Good experience developing automated UI and API tests.</li> <li>Experience with web testing elements such as HTML, CSS, XPath, etc.</li> <li>Ability to work in a fast-paced environment where team collaboration and personal pride in quality of work are highly valued.</li> </ul> <h4>Education and Experience:</h4> <ul> <li>BS/MS degree in Computer Science, Engineering or a related subject.</li> <li>3+ years of progressive professional experience in Quality Control and Testing.</li> <li>2+ years of experience writing automated tests, including integration, API, Mobile, Web and Performance.</li> </ul></p><p></p>

<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>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 5+ 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 paid Effort estimate Tasks for this project are estimated to take 20 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 $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Syarah is on a mission to change how people buy their cars in Saudi and the Middle East.<br> We offer buyers an end-to-end digital car buying experience where they can buy their next car from the comfort of their living rooms.<br> Under the hood, we build systems to manage sourcing of cars, inspection, photography, merchandising, reconditioning, financing, insurance, shipping and many more.<br> Our goal is to turn car buying into an experience of delight, comfort and peace of mind.<br> We are on the lookout for ambitious, competitive, growth-minded professionals to help us continue to harness technology to delight our customers and achieve our ambitious growth objectives in the auto sector.<br> All Syarah employees are expected to work in accordance with Syarah core values: Tolerance, Transparency, Respect, Integrity and Positivity.<br> Responsibilities: Working closely with engineering, product and other business teams to communicate problem impacts and to understand business requirements.<br> Strong knowledge of software testing principles and techniques, verification and validation techniques, and defect management.<br> Defining the scope of testing within the context of each release/delivery.<br> Identifies and analyzes issues, bugs, defects, and other problems, particularly when problems recur in multiple products; recommends and facilitates solutions to these issues.<br> Maintain and run automation scripts for new functionality and regression testing.<br> Write and implement automation scripts for API , Mobile , and Web.<br> Good knowledge of software QA methodologies, tools and processes Identify, troubleshoot, and document issues thoroughly during bugs tracking.<br> Excellent analytical, logical and problem-solving skills.<br> Conduct all types of testing [Smoke Test, Ad-hoc test, System test, Integration test.<br>.etc]. Good Experience in API's testing using tools such as (Postman, Soap UI, Katalon).<br> Familiar with SQL Queries Good experience in test frameworks such as Selenium or Appium.<br> Good Experience developing automated UI and API tests Experience with Web testing elements such as HTML, CSS, XPath, etc.<br> Ability to work in a fast-paced environment where team collaboration and personal pride in quality of work are highly valued.<br> Education and Experience: BS/MS degree in Computer Science, Engineering or a related subject 3+ years of progressive professional experience in Quality Control and Testing.<br> 2+ years of experience writing automated tests, including integration, API, Mobile, Web and Performance.<br></span> </div>

<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 5+ 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 paid Effort estimate Tasks for this project are estimated to take 20 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 $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<p><h4>Description</h4> <p>Are you ready to take the lead in driving technical excellence? Optimiza is looking for a dynamic and engaging technical team leader to inspire and guide our talented team of engineers and developers. As the technical team leader, you will play a pivotal role in shaping project success, fostering collaboration, and delivering cutting-edge solutions that exceed client expectations.</p> <h4>Key responsibilities:</h4> <ul> <li>Lead, mentor, and motivate a team of technical professionals to achieve project goals with a passion for quality and innovation.</li> <li>Plan, coordinate, and oversee technical project deliverables while ensuring timely and successful completion.</li> <li>Collaborate closely with stakeholders, project managers, and cross-functional teams to align technical efforts with business objectives.</li> <li>Drive continuous improvement by encouraging knowledge sharing, adopting best practices, and promoting a culture of learning.</li> <li>Identify risks and challenges early and implement effective solutions to keep projects on track.</li> <li>Communicate complex technical concepts clearly and engagingly to both technical team members and non-technical stakeholders.</li> <li>Stay ahead of the curve by keeping up with the latest technology trends and integrating relevant advancements into team practices.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's degree in computer science, engineering, or related field.</li> <li>Years of experience: 6+ years</li> <li>Technical knowledge: system administration, good knowledge in Windows, Linux, and networking (infrastructure support background)</li> <li>Good troubleshooting skills including networking and system administration.</li> <li>Customer support job experience.</li> </ul> <h4>Preferred skills</h4> <ul> <li>API traffic flow knowledge</li> <li>Database</li> <li>Active Directory and group policy</li> </ul> <h4>Benefits</h4> <ul> <li>Annual bonus</li> <li>Class A health insurance</li> <li>Training and development</li> <li>Performance bonus</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?</p> <p>If yes, then this is the job you're looking for. UXBERT Labs is one of the leading digital and user experience design agencies in the GCC, working with top regional and international brands such as STC, Amazon, Gucci, and more. As part of the Supertech Group—which also includes Hala Yalla, Saudi's number one private event ticketing and experience booking platform, and Kafu Games, the largest esports tournament platform in MENA—we are continuously expanding our innovation footprint.</p> <h4>Responsibilities:</h4> <ul> <li><strong>CI/CD & Automation:</strong> Design, implement, and manage robust CI/CD pipelines for Node.js and React applications using GitHub Actions and Bitbucket Pipelines across development, staging, and production environments.</li> <li><strong>Infrastructure as Code (IaC):</strong> Maintain and scale cloud infrastructure using Terraform or CloudFormation.</li> <li><strong>Containerization & Orchestration:</strong> Containerize applications using Docker and orchestrate using Kubernetes (optional). Excellent experience working on Kubernetes clusters such as GKE or AKS is a plus.</li> <li><strong>Monitoring & Observability:</strong> Monitor system health, security, and performance. Solid experience with New Relic, Datadog, and APM, including setting up APM cadence, alerts, and rules and policies for support and disaster management.</li> <li><strong>Cloud & Networking:</strong> Excellent experience with cloud-based VPC and networking within load balancing and orchestration.</li> <li><strong>Future-Proofing:</strong> Ability to learn fast and understand emerging technologies such as large language models, complex CI/CD setups in the future, including AI machine learning and AI coding.</li> </ul> <h4>Requirements</h4> <ul> <li><strong>Development & Infrastructure:</strong> Strong skills in quickly setting up servers in Node.js, whitelisting IPs, and providing Docker and secure environments for developers, production, and testers.</li> <li><strong>Coding Background:</strong> Seven or more years of DevOps experience across cloud platforms. An engineering background in PHP or a strong programming background is beneficial; solid JavaScript or Python skills are a must.</li> <li><strong>Cloud & Caching Expertise:</strong> Proficiency with both GCP and AWS is required. Must have solid experience with CDNs, CloudFlare, and configuration of complex caching in Redis and more. GCP certification is highly advantageous as Saudi Arabia prefers to work with GCP.</li> <li><strong>Database & Scaling:</strong> Understanding of database setup, high scaling, and high traffic sites both with and without CloudFlare. Experience with complex database optimization, data flow diagrams, and migration.</li> <li><strong>Modern Workflows:</strong> Experience with Vercel for front-end deployment workflows.</li> <li><strong>Environment Familiarity:</strong> Familiarity with Node.js environments, Linux, and monitoring tools.</li> <li><strong>AI Integration:</strong> Engineers must incorporate AI-assisted coding tools such as Claude, Grok, or ChatGPT as part of their daily work.</li> </ul> <h4>Benefits</h4> <ul> <li>Fully remote role (must align with Saudi Arabia working hours).</li> <li>Opportunity to work on high-impact Saudi government and enterprise projects.</li> <li>Collaborative culture with strong design and engineering teams.</li> <li>Competitive salary.</li> <li>Professional development budget for certifications and training.</li> </ul></p><p></p>

<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>\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>