Remote Ruby Engineer — AI Training & Code Review

Alignerr Corp.; France; À distance; EUR 34 000 - 83 000; Temps partiel

Résumé du poste

Alignerr is seeking an experienced Ruby Software Engineer (AI Training) for a fully remote, hourly contract. You will design, review, and improve real-world coding scenarios that teach AI systems how backend engineering works, and collaborate with researchers asynchronously.

You’ll evaluate Ruby-based services and contribute to AI training data and evaluation workflows, while maintaining production-grade code quality and scalability.

Qualifications

• 2+ years of professional software engineering experience.
• Strong proficiency in Ruby and backend development.
• Solid understanding of APIs, data-driven systems, and software engineering best practices.
• Detail oriented and analytical with ability to articulate reasoning.
• Clear written communicator able to explain technical decisions without jargon.
• Comfortable working independently in an async, remote environment.

Responsabilités

• Develop, review, and evaluate backend services and APIs written in Ruby and Ruby-based frameworks.
• Analyze codebases for correctness, performance, and maintainability and explain reasoning.
• Support creation and validation of realistic AI training scenarios for software engineering.
• Assess AI-generated Ruby code for quality and production-readiness.
• Collaborate asynchronously with researchers and engineers on cutting-edge AI development.
• Complete task-based assignments independently on your schedule.

Connaissances

Ruby

Backend development

APIs

Communication

Outils

Ruby on Rails

Description du poste

Alignerr is seeking an experienced Ruby Software Engineer (AI Training) for a fully remote, hourly contract. You will design, review, and improve real-world coding scenarios that teach AI systems how backend engineering works, and collaborate with researchers asynchronously.

You’ll evaluate Ruby-based services and contribute to AI training data and evaluation workflows, while maintaining production-grade code quality and scalability.