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This position was posted on April 22, 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 We've kept it here for historical reference.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 - Fully Remote
Job Type
Contract
Category
Software Engineering
Date Posted
April 22, 2026
Full Job Description
📋 Description
- • Software Engineering AI Trainer (Mexico) – A remote, part-time project-based role where skilled software engineers design and evaluate realistic coding tasks for a leading AI lab, contributing to the advancement of AI training data quality and reliability.
- • Day-to-day responsibilities include designing multi-file coding tasks (bug fixes, feature development, refactoring, testing), writing clear natural-language specifications and reference implementations, developing unit and integration test suites, reviewing peer submissions for correctness and realism, identifying edge cases and ambiguities, and ensuring alignment between specifications, code, and expected outputs.
- • Anyone AI Inc. is a remote-first company collaborating with top AI labs to build high-fidelity training data for AI systems; this role sits at the intersection of software engineering and AI development, offering exposure to cutting-edge AI evaluation methodologies.
- • Contributors will deepen their expertise in software design, test-driven development, code review, and AI alignment practices while building a portfolio of production-realistic coding scenarios used to train and evaluate state-of-the-art AI models.
Skills & Technologies
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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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