Remote Part-Time Full-Stack Engineer for AI Task Design

Anyone AI Inc.; Colombia; Remote; COP 178,365,000 - 445,912,000; Part time

Benefits offered by this job

Remote work

Per-project payment

Flexible schedule

Job summary

Anyone AI Inc. is seeking skilled software engineers for a remote, part-time, project-based evaluation project with an AI Lab. You will design and evaluate realistic coding tasks, implement solutions, and review peer submissions for quality and accuracy.

Responsibilities include creating complex multi-file tasks, writing specs and reference implementations, and building robust test suites while maintaining high standards for clarity and realism.

Qualifications

• Advanced professional written proficiency in English.
• 3–7 years of professional software engineering experience.
• Strong proficiency in Python and JavaScript/TypeScript; 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).
• 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 exp

Python

JavaScript/TypeScript

Java

C#

Go

Backend development

Full-stack development

Testing frameworks

Debug multi-file codebases

Code reviews

Job description

Anyone AI Inc. is seeking skilled software engineers for a remote, part-time, project-based evaluation project with an AI Lab. You will design and evaluate realistic coding tasks, implement solutions, and review peer submissions for quality and accuracy.

Responsibilities include creating complex multi-file tasks, writing specs and reference implementations, and building robust test suites while maintaining high standards for clarity and realism.