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 isproject-based, not permanent employment. What this opportunity involves You’ll create challenging coding test cases that push AI coding systems to their limits: - Review and refine realistic coding tasks based on provided production codebases with realistic scope, requirements and information sources  - Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checks - Craft “fair but hard” challenges where the AI has all the context it needs, but has to work for it (information scattered across files and external sources, complex reasoning required) - Analyze AI failures to understand what the model struggles with vs. what it masters - Iterate based on feedback from expert QA reviewers who score your work on 7 quality criteria What we look for This opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Computer Science, Software Engineering or related fields - 5+ years in software development, primarily Python (pytest, async/await, subprocess, file operations) - Background in Full-Stack development, with an equal focus on building React-based interfaces and robust Back-end systems - Experience writing tests (functional, integration – not just running them) - Docker containers (running evaluations locally in containers) - CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results) - English proficiency - B2 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. 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. Compensation On this project, contributors can earn up to $21 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 isproject-based, not permanent employment. What this opportunity involves You’ll create challenging coding test cases that push AI coding systems to their limits: - Review and refine realistic coding tasks based on provided production codebases with realistic scope, requirements and information sources  - Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checks - Craft “fair but hard” challenges where the AI has all the context it needs, but has to work for it (information scattered across files and external sources, complex reasoning required) - Analyze AI failures to understand what the model struggles with vs. what it masters - Iterate based on feedback from expert QA reviewers who score your work on 7 quality criteria What we look for This opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Computer Science, Software Engineering or related fields - 5+ years in software development, primarily Python (pytest, async/await, subprocess, file operations) - Background in Full-Stack development, with an equal focus on building React-based interfaces and robust Back-end systems - Experience writing tests (functional, integration – not just running them) - Docker containers (running evaluations locally in containers) - CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results) - English proficiency - B2 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. 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. Compensation On this project, contributors can earn up to $21 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 isproject-based, not permanent employment. What this opportunity involves You’ll create challenging coding test cases that push AI coding systems to their limits: - Review and refine realistic coding tasks based on provided production codebases with realistic scope, requirements and information sources  - Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checks - Craft “fair but hard” challenges where the AI has all the context it needs, but has to work for it (information scattered across files and external sources, complex reasoning required) - Analyze AI failures to understand what the model struggles with vs. what it masters - Iterate based on feedback from expert QA reviewers who score your work on 7 quality criteria What we look for This opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Computer Science, Software Engineering or related fields - 5+ years in software development, primarily Python (pytest, async/await, subprocess, file operations) - Background in Full-Stack development, with an equal focus on building React-based interfaces and robust Back-end systems - Experience writing tests (functional, integration – not just running them) - Docker containers (running evaluations locally in containers) - CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results) - English proficiency - B2 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. 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. Compensation On this project, contributors can earn up to $21 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 isproject-based, not permanent employment. What this opportunity involves You’ll create challenging coding test cases that push AI coding systems to their limits: - Review and refine realistic coding tasks based on provided production codebases with realistic scope, requirements and information sources  - Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checks - Craft “fair but hard” challenges where the AI has all the context it needs, but has to work for it (information scattered across files and external sources, complex reasoning required) - Analyze AI failures to understand what the model struggles with vs. what it masters - Iterate based on feedback from expert QA reviewers who score your work on 7 quality criteria What we look for This opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Computer Science, Software Engineering or related fields - 5+ years in software development, primarily Python (pytest, async/await, subprocess, file operations) - Background in Full-Stack development, with an equal focus on building React-based interfaces and robust Back-end systems - Experience writing tests (functional, integration – not just running them) - Docker containers (running evaluations locally in containers) - CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results) - English proficiency - B2 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. 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. Compensation On this project, contributors can earn up to $21 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.