Remote Full-Stack Engineer for AI Lab Projects (Part-Time)

Anyone AI; Madrid; Presencial; EUR 55.104 - 110.208; A tiempo parcial

Descripción de la vacante

Anyone AI is seeking skilled Full-Stack Developers for a project with a leading AI lab. This is a part-time, project-based expert evaluation role conducted remotely.

Consultants will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation, and will review peer submissions for quality and accuracy. Contributors will be paid per project, with hourly rates as estimates based on expected completion time.

Formación

• 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 (pytest, Jest, JUnit, xUnit, Go testing).
• Proven ability to debug and navigate large, multi-file codebases.
• Experience with code reviews, refactoring, and production migrations.

Responsabilidades

• 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.

Conocimientos

English proficiency

Experience

Python

JavaScript/TypeScript

Backend or full-stack

Testing frameworks

Debugging multi-file codebases

Code reviews & refactoring

Descripción del empleo

Anyone AI is seeking skilled Full-Stack Developers for a project with a leading AI lab. This is a part-time, project-based expert evaluation role conducted remotely.

Consultants will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation, and will review peer submissions for quality and accuracy. Contributors will be paid per project, with hourly rates as estimates based on expected completion time.