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Software Engineering AI Trainer (Germany)

Anyone AI · Germany · Remote

Weak hiring record · median 119 days open

2929

Hiring signal

Ghost risk

Open 153 days · How we score

All reasons
  • Open 153 days
  • 65% of this employer's openings are over 60 days old
  • The same description appears on 11 of this employer's postings

In its favour

  • Still listed on the employer's own board

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Software Engineering AI Trainer (Germany) at Anyone AI. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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

Skills

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