Remote Backend Engineer - Contract Task Designer & Evaluator

Anyone AI Inc.; Argentina; A distancia; ARS 52.486.000 - 125.965.000; A tiempo parcial

Descripción de la vacante

Anyone AI Inc. is seeking a part-time, project-based software engineering consultant to design and evaluate realistic tasks, bug fixes, features, refactoring, and tests. Remote work with flexible scheduling and per-project compensation.

Contributors will craft multi-file coding scenarios, write specifications and reference implementations, and review peer submissions for quality and accuracy, delivering robust tests and validation artifacts.

Formación

• Advanced professional written proficiency in English.
• 2-5 years of professional software engineering experience.
• 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.

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

Software engineering experience

Backend or full-stack

Testing frameworks

Debugging multi-file codebases

Code reviews/refactoring

Descripción del empleo

Anyone AI Inc. is seeking a part-time, project-based software engineering consultant to design and evaluate realistic tasks, bug fixes, features, refactoring, and tests. Remote work with flexible scheduling and per-project compensation.

Contributors will craft multi-file coding scenarios, write specifications and reference implementations, and review peer submissions for quality and accuracy, delivering robust tests and validation artifacts.