Backend Developer - AI Trainer (Netherlands)

Anyone AI

Netherlands Remote Part-time $52K – $104K/yr 26 days ago
Workplace
Remote
Location
Netherlands
Who can apply
Remote for people based in the Netherlands

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About the role

Anyone AI is recruiting skilled Backend Developer 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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