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Alignerr

Software Engineer - Ruby

About this role

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

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