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Descripción de la vacante

Software Engineering AI Trainer (Spain) en España, España

Anyone AI Inc.

  • RemotoTrabaja desde cualquier lugar

España, España

Anyone AI is recruiting skilled software engineers 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 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 testing

  • Write clear natural‑language specifications and reference implementations

  • Develop and extend unit and integration test suites

  • Review peer‑generated tasks for correctness, clarity, and realism

  • Identify edge cases, ambiguities, and potential failure modes

  • Ensure alignment between specifications, code, and expected outputs

Expected Outcomes:

  • High‑quality, production‑realistic coding tasks

  • Complete and correct reference implementations

  • Robust test coverage and validation artifacts

  • Structured, actionable peer review feedback

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