Please submit your CV in English and indicate your level of English proficiency. 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. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original optics problems that simulate real physics research workflows; - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; - Base problems on real research challenges or practical applications from optics & physics practice; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for optical engineers open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Physics (Theoretical, Experimental, or Computational) or related fields; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical simulation methods; - Ability to design problems that mirror real physics research workflows; - Creative thinking in problem design across diverse physics areas; - Familiarity with physics modeling and approximation techniques; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations 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. Compensation On this project, contributors can earn up to $14 per hour equivalent, depending on their level and pace of contribution. 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.

Please submit your CV in English and indicate your level of English proficiency. 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. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original optics problems that simulate real physics research workflows; - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; - Base problems on real research challenges or practical applications from optics & physics practice; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for optical engineers open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Physics (Theoretical, Experimental, or Computational) or related fields; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical simulation methods; - Ability to design problems that mirror real physics research workflows; - Creative thinking in problem design across diverse physics areas; - Familiarity with physics modeling and approximation techniques; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations 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. Compensation On this project, contributors can earn up to $14 per hour equivalent, depending on their level and pace of contribution. 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.

🌟 About CodeNinja At CodeNinja Consulting, we build high-impact global engineering teams that accelerate digital transformation for enterprises worldwide. With operations across Saudi Arabia, Pakistan, the United States, and Chile, we empower clients with world-class expertise in software engineering, QA automation, cloud, DevOps, and enterprise technology services. Our 350+ experts deliver solutions across banking, fintech, healthcare, e-commerce, and large-scale enterprise platforms. At CodeNinja, we value innovation, excellence, and a culture of continuous learning — enabling our teams to deliver smarter, faster, and stronger. 📝 Job Summary We are seeking an experienced Automation Engineer (8+ Years) to develop, enhance, and maintain automated testing solutions for complex enterprise systems. The role requires strong technical expertise in test automation frameworks, CI/CD integration, regression automation, API automation, and working with cross-functional testing teams. You will collaborate closely with the Manual Test Lead, engineering teams, and DevOps to ensure test coverage, quality, and stability across release cycles. 🎯 Key Responsibilities Automation Development & Maintenance - Develop and maintain automation scripts for regression, functional, and SIT testing. - Create reusable automation frameworks, utilities, and libraries. - Debug, optimize, and enhance test scripts for improved reliability and performance. - Ensure automated tests are scalable, modular, and aligned with best practices. CI/CD Integration - Integrate automated test suites into Jenkins, GitHub Actions, GitLab CI, or equivalent pipelines. - Configure automated execution triggers for nightly builds, code merges, and release cycles. - Implement reporting and log outputs directly into CI/CD dashboards. Testing & Quality Assurance - Ensure comprehensive test coverage, including UI, API, SIT, and end-to-end scenarios. - Work closely with the Manual Test Lead to identify automation candidates and maintain prioritization. - Prepare detailed test reports, execution logs, error summaries, and coverage metrics. - Participate in defect triage meetings and provide technical insights on automation failures. Collaboration & Support - Collaborate with developers, architects, QA, and DevOps teams for test environment readiness. - Provide guidance on automation best practices to junior team members. - Support continuous improvement initiatives in testing methodologies and tools.

🌟 About CodeNinja At CodeNinja Consulting, we build high-impact global engineering teams that accelerate digital transformation for enterprises worldwide. With operations across Saudi Arabia, Pakistan, the United States, and Chile, we empower clients with world-class expertise in software engineering, QA automation, cloud, DevOps, and enterprise technology services. Our 350+ experts deliver solutions across banking, fintech, healthcare, e-commerce, and large-scale enterprise platforms. At CodeNinja, we value innovation, excellence, and a culture of continuous learning — enabling our teams to deliver smarter, faster, and stronger. 📝 Job Summary We are seeking an experienced Automation Engineer (8+ Years) to develop, enhance, and maintain automated testing solutions for complex enterprise systems. The role requires strong technical expertise in test automation frameworks, CI/CD integration, regression automation, API automation, and working with cross-functional testing teams. You will collaborate closely with the Manual Test Lead, engineering teams, and DevOps to ensure test coverage, quality, and stability across release cycles. 🎯 Key Responsibilities Automation Development & Maintenance - Develop and maintain automation scripts for regression, functional, and SIT testing. - Create reusable automation frameworks, utilities, and libraries. - Debug, optimize, and enhance test scripts for improved reliability and performance. - Ensure automated tests are scalable, modular, and aligned with best practices. CI/CD Integration - Integrate automated test suites into Jenkins, GitHub Actions, GitLab CI, or equivalent pipelines. - Configure automated execution triggers for nightly builds, code merges, and release cycles. - Implement reporting and log outputs directly into CI/CD dashboards. Testing & Quality Assurance - Ensure comprehensive test coverage, including UI, API, SIT, and end-to-end scenarios. - Work closely with the Manual Test Lead to identify automation candidates and maintain prioritization. - Prepare detailed test reports, execution logs, error summaries, and coverage metrics. - Participate in defect triage meetings and provide technical insights on automation failures. Collaboration & Support - Collaborate with developers, architects, QA, and DevOps teams for test environment readiness. - Provide guidance on automation best practices to junior team members. - Support continuous improvement initiatives in testing methodologies and tools.