Responsibilities
* Review AI-generated Ruby and Ruby on Rails code for correctness, readability, maintainability, and architectural quality
* Evaluate backend engineering solutions involving MVC architecture, domain modeling, control flow, refactoring, testing, and web application design
* Identify errors in Ruby syntax, Rails conventions, application structure, service-layer logic, model relationships, and controller design
* Analyze Ruby and Rails implementations for idiomatic coding practices, maintainability, scalability, and adherence to production-quality engineering standards
* Generate high-quality reference solutions, code reviews, architectural explanations, and structured reasoning workflows demonstrating idiomatic Ruby patterns
* Compare and rank multiple AI-generated responses based on technical correctness, code quality, design decisions, and reasoning clarity
* Fact-check technical claims, framework usage, software architecture decisions, and backend engineering methodologies
* Evaluate test quality, debugging approaches, refactoring patterns, and maintainability considerations using tools such as RSpec and Rails testing workflows
* Work with Ruby ecosystems and frameworks including Ruby on Rails, Sinatra, MVC-based architectures, and metaprogramming patterns
* Support AI model improvement through annotation workflows, code evaluations, technical QA reviews, and structured engineering documentation
Requirements
* Education: Bachelor s degree or higher in Computer Science, Software Engineering, or a closely related technical field
* Minimum Strong years of professional Ruby programming experience in production environments
* Strong understanding of Ruby on Rails, MVC architecture, and idiomatic Ruby coding patterns
* Hands-on experience building and maintaining Ruby or Rails applications with exposure to real-world backend engineering challenges
* Ability to evaluate code readability, maintainability, architectural decisions, and logical correctness across Ruby and Rails projects
* Familiarity with frameworks and tools such as Ruby on Rails, Sinatra, RSpec, testing workflows, and refactoring methodologies
* Strong analytical and problem-solving skills with excellent attention to detail during code review and technical evaluation
* Excellent English writing and communication skills with Minimum C1 English proficiency required
* Comfortable explaining software engineering concepts, code review feedback, architectural trade-offs, and debugging logic clearly in written form
* Significant experience using AI coding assistants or LLMs for programming, debugging, code review, or software design evaluation strongly preferred
* Previous experience with AI data training, annotation workflows, large-scale code review, or evaluation of AI-generated technical content is strongly preferred
* Preferred qualifications include experience with metaprogramming, test-heavy systems, open-source Ruby contributions, or competitive programming exposure
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