Remote AI Software Engineer Trainer-PartTime Project-Based

Anyone AI Inc.; EE. UU.; A distancia; USD 83.000 - 165.000; A tiempo parcial

Descripción de la vacante

Anyone AI is recruiting skilled software engineers to work on a project with a leading AI lab. This is a remote, part-time, project-based consultant role with flexible hours and a per-project compensation model.

Contributors will design and evaluate realistic coding tasks, implement features, refactor code, and generate tests. You will review peer submissions and ensure quality and accuracy across multi-file codebases.

Formación

• Advanced written proficiency in English.
• 3-7 years of professional software engineering experience.
• Proficient 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

Python

JavaScript/TypeScript

Java / C# / Go

Backend development

Testing frameworks

Debugging large codebases

Code reviews & migrations

English proficiency

Herramientas

pytest

Jest

JUnit

xUnit

Go testing

Descripción del empleo

Anyone AI is recruiting skilled software engineers to work on a project with a leading AI lab. This is a remote, part-time, project-based consultant role with flexible hours and a per-project compensation model.

Contributors will design and evaluate realistic coding tasks, implement features, refactor code, and generate tests. You will review peer submissions and ensure quality and accuracy across multi-file codebases.