Senior Software Engineer in Test

Role Overview: You will be tasked with creating challenging coding test cases to push AI coding systems to their limits. This includes reviewing and refining realistic coding tasks, writing comprehensive functional tests, crafting 'fair but hard' challenges, analyzing AI failures, and iterating based on feedback from expert QA reviewers. Key Responsibilities: - 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 Qualifications Required: - 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) - Familiarity with Docker containers (running evaluations locally in containers) - Understanding of CI/CD (GitHub Actions as a user: triggers, labels, reading results) - English proficiency - B2 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. Tasks for this project are estimated to take 20 hours to complete, depending on complexity. Compensation for contributors can vary up to $12 per hour equivalent, depending on their level and pace of contribution. Role Overview: You will be tasked with creating challenging coding test cases to push AI coding systems to their limits. This includes reviewing and refining realistic coding tasks, writing comprehensive functional tests, crafting 'fair but hard' challenges, analyzing AI failures, and iterating based on feedback from expert QA reviewers. Key Responsibilities: - 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 Qualifications Required: - 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) - Familiarity with Docker containers (running evaluations locally in containers) - Understanding of CI/CD (GitHub Actions as a user: triggers, labels, reading results) - English proficiency - B2 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. Tasks for this project are estimated to take 20 hours to complete, depending on complexity. Compensation for contributors can vary up to $12 per hour equivalent, depending on their level and pace of contribution.