Software Engineering AI Trainer (Mexico)
<p>Anyone AI is recruiting skilled software engineers to work on a project with a leading AI lab.</p><p></p><p><strong>Qualifications:</strong></p><ul><li><p>Advanced professional written proficiency in English</p></li><li><p>3–7 years of professional software engineering experience</p></li><li><p>Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go</p></li><li><p>Backend or full‑stack development experience in production systems</p></li><li><p>Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing)</p></li><li><p>Proven ability to debug and navigate large, multi‑file codebases</p></li><li><p>Experience with code reviews, refactoring, and production migrations</p><p></p></li></ul><p><strong>Engagement:</strong> Part-time, project-based expert evaluation work</p><p><strong>Work Type:</strong> Remote</p><p></p><p>Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation. Work includes both creating complex coding scenarios and reviewing peer submissions for quality and accuracy.</p><p></p><p>This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time.
Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances).</p><p></p><p><strong>Responsibilities:</strong></p><p>Contributors will:</p><ul><li><p>Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing</p></li><li><p>Write clear natural-language specifications and reference implementations</p></li><li><p>Develop and extend unit and integration test suites</p></li><li><p>Review peer-generated tasks for correctness, clarity, and realism</p></li><li><p>Identify edge cases, ambiguities, and potential failure modes</p></li><li><p>Ensure alignment between specifications, code, and expected outputs</p></li></ul><p></p><p><strong>Expected Outcomes:</strong></p><ul><li><p>High-quality, production-realistic coding tasks</p></li><li><p>Complete and correct reference implementations</p></li><li><p>Robust test coverage and validation artifacts</p></li><li><p>Structured, actionable peer review feedback</p></li></ul><p></p>