Ruby Code Review Engineer

You will evaluate AI-generated Ruby and Ruby on Rails code and explain whether the answers are correct, logical, readable, and maintainable. You will also write strong examples and model answers that show clear, idiomatic Ruby practices.

• Review and compare Ruby and Rails solutions for correctness and reasoning quality.
• Find problems in MVC structure, domain modeling, control flow, readability, and maintainability.
• Fact-check technical content and explain why a solution is strong or weak.
• Write idiomatic Ruby examples and clear model answers.
• Evaluate responses for clarity, testability, and long-term code quality.

This is remote contract work for an intermediate-level contributor. The role requires professional Ruby experience in production environments and strong English writing skills for technical explanations.

• Pay: $55 per hour.
• Time: 20+ hours per week.
• Open to candidates in Bangladesh, Bhutan, Brazil, Cambodia, Germany, India, Indonesia, Malaysia, Nepal, Pakistan, Singapore, Sri Lanka, Thailand, the Philippines, the United States, Timor-Leste, and Vietnam.
• Language: Professional fluency in English.
• Required: Strong Ruby on Rails, MVC architecture, and idiomatic Ruby knowledge.
• Required: Hands-on experience building or maintaining Ruby or Rails applications.
• Required: Ability to judge readability, maintainability, and logical correctness in Ruby and Rails code.
• Required: Experience using large language models or AI coding assistants while programming.
• Preferred: A bachelor’s degree in computer science or a closely related technical field.
• Preferred: Prior AI data training, large-scale code review, or evaluation of AI-generated technical content.
• Helpful: Ruby on Rails, Sinatra, and RSpec experience in real projects; merged pull requests in Ruby open-source projects; metaprogramming or test-heavy systems experience; or competitive programming experience.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind systems that generate and understand content, including code. Reviewers with strong technical skills assess examples, explain mistakes, and help models produce more accurate and useful answers.