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Anyone Ai

Backend Developer (Spain)

LocationSpain
Work moderemote
Typecontract
DepartmentSoftware Engineering
Company size51+ people
First seen4d ago
Last seen14h ago
About the role
Anyone AI is recruiting skilled Backend 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
Responsibilities
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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