
Job Overview
Location
Remote
Job Type
Full-time
Category
Software Engineer
Date Posted
February 22, 2026
Full Job Description
đź“‹ Description
- • Join Mindrift, a dynamic platform connecting top-tier AI specialists with groundbreaking project-based opportunities at leading technology companies. We are currently seeking a highly skilled Senior Python Engineer to contribute to a critical AI testing project for a prominent tech firm. This role is project-based and fully remote, offering the flexibility and autonomy you desire.
- • As a Senior Python Engineer on this AI Testing Project, you will play a pivotal role in ensuring the quality, reliability, and performance of advanced AI systems. Your expertise in Python development, coupled with a keen understanding of testing methodologies and AI principles, will be instrumental in identifying and resolving complex technical challenges. You will be working at the forefront of AI innovation, contributing to the development of sophisticated AI models that power cutting-edge applications.
- • Your primary responsibility will be to design, develop, and implement robust testing frameworks and tools using Python. This will involve creating automated test scripts, performance testing solutions, and data validation pipelines to rigorously assess AI model behavior and accuracy. You will collaborate closely with AI researchers, data scientists, and other engineers to understand model requirements, identify potential failure points, and translate these insights into comprehensive testing strategies.
- • You will be tasked with analyzing the results of AI model testing, providing detailed reports on performance metrics, identifying bugs, and suggesting improvements. This analytical aspect of the role requires a strong ability to interpret complex data, understand statistical significance, and communicate findings clearly and concisely to both technical and non-technical stakeholders. Your insights will directly influence the refinement and optimization of AI algorithms.
- • A significant part of your role will involve contributing to the development of custom testing environments and simulation tools. This may include building mock data generators, creating synthetic datasets that mimic real-world scenarios, and developing tools to simulate various user interactions or environmental conditions. The goal is to create a comprehensive testing ecosystem that can uncover edge cases and potential vulnerabilities in the AI models.
- • You will also be expected to stay abreast of the latest advancements in AI testing techniques, Python libraries, and relevant technologies. This includes exploring new tools for model evaluation, performance monitoring, and anomaly detection. Sharing your knowledge and best practices with the wider team will be a valuable contribution, fostering a culture of continuous learning and improvement.
- • The project demands a proactive and detail-oriented approach. You will be responsible for debugging complex issues, optimizing existing test code, and ensuring the scalability and maintainability of the testing infrastructure. Your ability to work independently, manage your time effectively, and deliver high-quality results within project timelines will be crucial for success.
- • This is an exciting opportunity to leverage your Python engineering skills in a challenging and rewarding AI-focused environment. You will gain invaluable experience working with state-of-the-art AI technologies and contribute to projects that have a real-world impact. Mindrift provides a platform for you to showcase your expertise and grow your career in the rapidly evolving field of artificial intelligence.
- • You will be involved in the entire testing lifecycle, from test planning and design to execution and reporting. This includes defining test objectives, developing test cases, setting up test environments, running tests, and analyzing results. The feedback loop between testing and development is critical, and you will be a key facilitator of this process, ensuring that AI models are robust, fair, and perform as intended.
- • Furthermore, you will contribute to the continuous improvement of our testing methodologies and processes. This might involve recommending new tools, advocating for specific testing approaches, or developing reusable components that enhance efficiency and effectiveness across multiple projects. Your experience as a senior engineer will be invaluable in shaping the future of AI testing within the projects you undertake.
- • The ability to collaborate effectively in a remote setting is paramount. You will be part of a distributed team, requiring strong communication skills, both written and verbal, to ensure seamless coordination and knowledge sharing. Proactive engagement and a willingness to contribute to team discussions will be highly valued.
- • Ultimately, your work will directly contribute to the deployment of reliable and high-performing AI systems, ensuring that our clients can trust and depend on the technology they are building. This role offers a unique chance to be at the intersection of software engineering and artificial intelligence, making a tangible difference in the advancement of AI.
🎯 Requirements
- • Proven experience as a Senior Python Engineer with a strong portfolio of complex projects.
- • Expertise in developing and implementing automated testing frameworks and tools using Python (e.g., pytest, unittest).
- • Solid understanding of AI/ML concepts and experience in testing AI models or related systems.
- • Experience with data analysis, performance testing, and debugging complex software systems.
- • Excellent problem-solving skills and meticulous attention to detail.
- • Strong communication skills, with proficiency in English (written and verbal).
Skills & Technologies
About Toloka AI, Inc.
Toloka AI, Inc. operates a global data-labeling and human-in-the-loop platform that combines machine learning with crowdsourced human intelligence to generate high-quality training data for computer vision, NLP, search, and other AI applications. The company offers scalable annotation workflows, quality control systems, and expert taskers across 100+ countries to help enterprises and research teams accelerate model development and improve accuracy. Founded in 2014 and headquartered in Amsterdam, Toloka serves technology giants and startups in e-commerce, autonomous vehicles, finance, and healthcare sectors.
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