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