Remote AI Software Engineer Trainer — Task Design & Evaluation

Anyone AI Inc.; Comisión de Fomento de Perú; Hybrid; ARS 2,066,000 - 3,444,000; Part time

Benefits offered by this job

Remote work

Per-project payment

Job summary

Anyone AI Inc. is recruiting skilled software engineers to work on a project with a leading AI lab. This remote, part-time role involves designing and evaluating realistic coding tasks, including bug fixes, feature implementation, refactoring, and test generation.

You will review peer submissions and contribute high-quality evaluation artifacts while controlling your own schedule. Contributors will work on multi-file tasks, write specifications, develop tests, and assess task realism.

Qualifications

• Advanced English written proficiency required.
• 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 (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

Advanced English

Experience 3–7 years

Python

JavaScript/TypeScript

Java / C# / Go knowledge

Backend or full-stack

Testing frameworks

Debug multi-file codebases

Code reviews & refactoring

Tools

pytest

Jest

JUnit

xUnit

Job description

Anyone AI Inc. is recruiting skilled software engineers to work on a project with a leading AI lab. This remote, part-time role involves designing and evaluating realistic coding tasks, including bug fixes, feature implementation, refactoring, and test generation.

You will review peer submissions and contribute high-quality evaluation artifacts while controlling your own schedule. Contributors will work on multi-file tasks, write specifications, develop tests, and assess task realism.