Full-Stack Developer - AI Trainer (Spain)

Anyone AI·España

Qué ofrecen

  • US$45 - US$80 la hora

    Bruto, según indica la oferta.

  • Contrato de duración determinada

    Jornada parcial.

  • Totalmente en remoto

    Según la oferta.

Qué piden

  • Trabajo en inglés

    Se requiere inglés, según la oferta.

  • Tengas 3+ años de experiencia

    Puesto de nivel Mid.

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Oferta original

Anyone AI is recruiting skilled Full-Stack 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 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

Sobre la empresa

Anyone AI

Anyone AI

EdTech

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Empresa internacional
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