Software Engineer - Ruby

Software Engineer – Ruby (AI Training)

About The Role

What if your Ruby expertise could directly influence how AI understands and writes production-grade software for developers around the world? We're looking for experienced Ruby Software Engineers to help design, evaluate, and improve real-world software systems used in AI training and data-driven workflows.

This is a fully remote, flexible contract role built for working engineers who want to do meaningful, high-impact work on their own schedule — no office, no commute, no rigid hours.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Develop and maintain backend services and APIs using Ruby and Ruby-based frameworks
• Review, analyze, and improve existing codebases for correctness, performance, and maintainability
• Evaluate realistic software engineering scenarios to help create and validate high-quality technical datasets
• Collaborate asynchronously with researchers and engineers to support AI training and evaluation efforts
• Apply production-grade engineering thinking to real-world backend and API problems

Who You Are

• 2+ years of professional software engineering experience
• Strong proficiency in Ruby and backend development concepts
• Comfortable working with production codebases, RESTful APIs, and data-driven systems
• Detail-oriented and analytical — you can clearly explain your technical decisions in writing
• Self-motivated and dependable when working independently without close supervision

Nice to Have

• Experience with Ruby on Rails or other Ruby-based frameworks
• Familiarity with AI tools, data pipelines, or technical evaluation workflows
• Background in code review, system design, or software architecture
• Exposure to testing frameworks, debugging practices, or performance profiling

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• Make a direct, tangible impact on how AI understands and generates real-world code
• Potential for ongoing work and contract extension as new projects launch