Remote Full-Stack Dev & AI Task Designer (Part-Time)

Anyone AI Inc.; United States; Remote; USD 40,000 - 90,000; Part time

Job summary

Anyone AI is seeking experienced Full-Stack Developers to collaborate on a project with a leading AI lab. This remote, part-time consultant role offers flexible scheduling and compensation on a per-project basis, with hourly estimates provided.

Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation, while reviewing peer submissions for quality and accuracy.

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
• 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

English fluency

3–7 years exp

Python

JavaScript/TypeScript

Java/C#/Go

Backend / full-stack

Testing frameworks

Debug multi-file codebases

Code reviews / migrations

Tools

pytest

Jest

JUnit

xUnit

Go testing

Job description

Anyone AI is seeking experienced Full-Stack Developers to collaborate on a project with a leading AI lab. This remote, part-time consultant role offers flexible scheduling and compensation on a per-project basis, with hourly estimates provided.

Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation, while reviewing peer submissions for quality and accuracy.