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This position was posted on February 3, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Job Overview
Location
Mexico City
Job Type
Full-time
Category
Software Engineer
Date Posted
February 3, 2026
Full Job Description
đź“‹ Description
- • Are you a seasoned Python developer with a passion for tackling complex software engineering challenges? Do you thrive in environments where meticulous coding, rigorous debugging, and deep understanding of existing systems are paramount? Anyone Ai is seeking exceptional Python and Coding Experts to join our fully remote team. This is a unique opportunity to contribute to cutting-edge AI development by creating high-quality training data for Large Language Models (LLMs) through hands-on coding and debugging.
- • In this role, you will immerse yourself in real-world software engineering tasks, working directly with production-like codebases. Your primary focus will be on executing intricate coding and debugging assignments that are crucial for the post-training phase of LLMs. This isn't just about writing new code; it's about deeply understanding, analyzing, and refining existing software systems to ensure the accuracy and effectiveness of our AI models.
- • You will be responsible for completing a variety of coding and debugging tasks within Python codebases. This involves not only writing clean, efficient, and well-documented code but also meticulously identifying and resolving bugs. A significant part of your work will require you to read, comprehend, and reason about complex existing software systems. This means you'll need to quickly grasp the architecture, logic, and functionality of code you may not have written yourself.
- • Debugging will be a core component of your daily activities. You will leverage logs, traces, and runtime behavior analysis to pinpoint and fix issues effectively. This requires a systematic and analytical approach to problem-solving, ensuring that solutions are robust and do not introduce new complications.
- • You will operate within Docker and Linux environments, which are standard for modern software development. Familiarity with these tools is essential for deploying, managing, and debugging applications. While Python is our primary focus, experience with other languages like Node.js, Go, or C++ will be considered a valuable asset, demonstrating a broader understanding of software development principles.
- • This position is designed for individuals who possess strong Python fundamentals and a solid background in software engineering. We are looking for candidates who are comfortable navigating and contributing to unfamiliar codebases, demonstrating adaptability and a quick learning curve. Your ability to meticulously debug issues and apply sound problem-solving methodologies will be critical to your success.
- • We highly value individuals with a high attention to detail and a deep respect for technical constraints. The quality of the training data we generate directly impacts the performance of our LLMs, making precision and adherence to specifications non-negotiable. You must be able to work independently, manage your time effectively, and consistently deliver high-quality solutions without constant supervision.
- • This is a flexible, part-time collaboration, typically involving around 20 hours per week. Compensation is competitive, up to US $40 per hour, with payment structured per completed task that involves multiple hours of work. This model allows for a good work-life balance while engaging in intellectually stimulating and impactful projects.
- • If you are a proactive, detail-oriented Python expert eager to apply your skills to the exciting field of AI and contribute to the development of advanced language models, we encourage you to apply. Join Anyone Ai and be part of a team that is pushing the boundaries of artificial intelligence through rigorous software engineering practices.
Skills & Technologies
About Anyone AI Inc.
Anyone AI provides no-code computer-vision infrastructure that lets companies build, train and deploy image and video models without machine-learning teams. Its cloud platform automates data labeling, model optimization and edge deployment for retail, manufacturing, logistics and healthcare use cases. The company offers pre-trained APIs for object detection, counting and anomaly identification, plus dashboards for continuous monitoring and compliance. Founded in 2021, it targets enterprises seeking rapid AI adoption while avoiding costly specialists and infrastructure setup.
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