Remote job
Remote confirmedFull-Stack Developer - AI Trainer (Germany)
Anyone AI
Key points from the posting
- Tech stack
- PythonJavaScriptTypeScriptJavaC#GopytestJestJUnitxUnit
- Seniority:
- Mid-level
- Languages:
- English
Read out of the job posting automatically
Our assessment
- Our reading of the full posting text confirms it: fully remote.
- 17 more open roles from this employer in our index. 17 of them fully remote.
This section only: calculated automatically by nomado24, from our own job index and our own reading of the posting text. Not stated by the employer.
Job description
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
This role is provided by an external source. Applications are handled on the source website.