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

Anyone AI Inc.; United States; Remote; USD 83,000 - 152,000; Part time

Job summary

Anyone AI is seeking skilled Full-Stack Developers for a part-time, project-based expert evaluation role on a project with a leading AI lab. This remote, contract work lets you design and evaluate realistic coding tasks, including bug fixes, feature implementations, refactoring, and test generation.

You will review peer submissions for quality and accuracy, write clear specifications and reference implementations, and help ensure robust unit and integration tests.

Qualifications

• Advanced 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.
• 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.

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

English proficiency

3–7 years experience

Python

JavaScript/TypeScript

Java

C#

Go

Backend development

Testing frameworks

Debugging multi-file codebases

Code reviews & refactoring

Job description

Anyone AI is seeking skilled Full-Stack Developers for a part-time, project-based expert evaluation role on a project with a leading AI lab. This remote, contract work lets you design and evaluate realistic coding tasks, including bug fixes, feature implementations, refactoring, and test generation.

You will review peer submissions for quality and accuracy, write clear specifications and reference implementations, and help ensure robust unit and integration tests.