Remote Full-Stack Engineer (Python/JS) - Part-Time

Anyone AI Inc.; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

Anyone AI Inc. is seeking skilled Full-Stack Developers (Python, JavaScript/TypeScript) for a project with a leading AI Lab.

This is a part-time, project-based expert evaluation role with remote work. Consultants will design and evaluate realistic software engineering tasks, including bug fixes, feature implementations, refactoring, and test generation, and will provide clear reviews of peer submissions while managing their own schedule and tools.

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.

Responsibilities

• 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.

Skills

Python

JavaScript/TypeScript

Java

C#

Go

Testing frameworks

Debugging multi-file codebases

Code reviews/refactoring

English proficiency

Job description

Anyone AI Inc. is seeking skilled Full-Stack Developers (Python, JavaScript/TypeScript) for a project with a leading AI Lab.

This is a part-time, project-based expert evaluation role with remote work. Consultants will design and evaluate realistic software engineering tasks, including bug fixes, feature implementations, refactoring, and test generation, and will provide clear reviews of peer submissions while managing their own schedule and tools.