Software Engineering AI Trainer (Netherlands) at Anyone AI | Torre

Software Engineering AI Trainer (Netherlands)

You'll shape advanced AI capabilities by designing and evaluating complex software engineering tasks.
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Freelance
Recurrent
Compensation
USD45 - 80/hour
location_on
Remote (for Netherlands residents)
Shared by
Emma of Torre.ai
10 days ago

Requirements and responsibilities


Anyone AI is recruiting skilled software engineers to work on a project with a leading AI lab.Qualifications:Advanced professional written proficiency in English3–7 years of professional software engineering experienceStrong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or GoBackend or full‑stack development experience in production systemsExperience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing)Proven ability to debug and navigate large, multi‑file codebasesExperience with code reviews, refactoring, and production migrationsEngagement: Part-time, project-based expert evaluation workWork Type: RemoteContributors 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.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).Responsibilities:Contributors will:Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testingWrite clear natural-language specifications and reference implementationsDevelop and extend unit and integration test suitesReview peer-generated tasks for correctness, clarity, and realismIdentify edge cases, ambiguities, and potential failure modesEnsure alignment between specifications, code, and expected outputsExpected Outcomes:High-quality, production-realistic coding tasksComplete and correct reference implementationsRobust test coverage and validation artifactsStructured, actionable peer review feedback
Optionally, you can add more information later (benefits, pre-screening questions, etc.)
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