Ruby Engineer for AI Data Training

Ruby Engineer for AI Data Training at SME Careers

As an hourly paid, fully remote Ruby Engineer for AI Data Training, you will play a crucial role in enhancing AI models. This position involves reviewing AI-generated Ruby and Rails code, or developing your own solutions, while meticulously evaluating the quality of reasoning and step-by-step problem-solving. Your expert feedback will be instrumental in guiding models to produce accurate, logical, and clearly explained answers.

You will assess solutions for readability, maintainability, and correctness, identifying errors in MVC structure, domain modeling, or control flow. A key part of your responsibility will be to fact-check information, write high-quality explanations, and craft model solutions that exemplify idiomatic Ruby patterns. Furthermore, you will rate and compare multiple AI responses based on their correctness and reasoning quality.

This opportunity is with SME Careers, a rapidly expanding AI Data Services company and a subsidiary of SuperAnnotate. Your work will directly contribute to the improvement of the world's premier AI models, all while offering the flexibility of impactful, detail-oriented remote contract work.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts across various topics and generate responses to guide AI learning, ensuring models comprehensively understand diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across various use cases.

Your Profile

• 1–2+ years of professional Ruby programming experience in production environments.
• Strong understanding of Ruby on Rails, MVC architecture, and idiomatic Ruby patterns for structuring application code.
• Hands-on software engineering experience building and maintaining Ruby or Rails applications, with exposure to real-world production constraints.
• Ability to evaluate readability, maintainability, and logical correctness in Ruby and Rails code, including model, controller, and service-layer design.
• Significant experience using LLMs or AI coding assistants while programming, combined with a disciplined approach to validating and reviewing their output.
• Excellent English writing skills, capable of producing clear, structured, and pedagogical technical explanations and code reviews.
• Minimum Bachelor’s degree in Computer Science or a closely related technical field.
• Previous experience with AI data training, large-scale code review, or evaluation of AI-generated technical content is strongly preferred.
• Minimum C1 English proficiency and an extremely detail-oriented working style are required.
• Highly preferred: experience with frameworks and tools such as Ruby on Rails, Sinatra, and RSpec in real projects.
• Preferred: merged PRs in Ruby open-source projects, experience with metaprogramming or test-heavy systems, and competitive programming exposure.

Key skills/competency

• Ruby Programming
• Ruby on Rails
• MVC Architecture
• AI Data Training
• Code Review
• LLMs / AI Coding Assistants
• Technical Writing
• Software Engineering
• RSpec Testing
• Problem Solving