Senior Software Engineer In Test (Full-Stack/Python)

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 InvolvesYou’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 sourcesWrite comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checksCraft “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 mastersIterate based on feedback from expert QA reviewers who score your work on 7 quality criteriaWhat We Look ForThis 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 fields5+ 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 systemsExperience writing tests (functional, integration - not just running them)Docker containers (running evaluations locally in containers)CI/CD understanding (Git Hub Actions as a user: triggers, labels, reading results)English proficiency - B2How It WorksApply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paidEffort estimateTasks 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 howto work.Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.CompensationOn this project, contributors can earn up to$30 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 InvolvesYou’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 sourcesWrite comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checksCraft “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 mastersIterate based on feedback from expert QA reviewers who score your work on 7 quality criteriaWhat We Look ForThis 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 fields5+ 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 systemsExperience writing tests (functional, integration - not just running them)Docker containers (running evaluations locally in containers)CI/CD understanding (Git Hub Actions as a user: triggers, labels, reading results)English proficiency - B2How It WorksApply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paidEffort estimateTasks 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 howto work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.CompensationOn this project, contributors can earn up to$30 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.