Software Engineer – Ruby (AI Training)
About The Role
What if your Ruby skills could directly influence how AI understands, writes, and reasons about real-world software systems We're looking for experienced Ruby Software Engineers to work on cutting-edge AI training and evaluation projects — reviewing code, building backend systems, and helping shape the next generation of AI-powered development tools.
This is a fully remote, flexible contract role. Work on your own schedule, take on meaningful engineering challenges, and make a tangible impact on how AI handles production-grade code.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design, develop, and maintain backend services and APIs using Ruby and Ruby-based frameworks
- Review and analyze real-world codebases for correctness, performance, and maintainability
- Evaluate AI-generated Ruby code against production-grade engineering standards
- Create, validate, and refine technical datasets by working through realistic software engineering scenarios
- Collaborate asynchronously with researchers and engineers to support AI training and evaluation efforts
- Clearly document your technical reasoning and findings in structured formats
Who You Are
- 2+ years of professional software engineering experience
- Strong proficiency in Ruby and backend development concepts
- Comfortable working with production codebases, REST APIs, and data-driven systems
- Naturally detail-oriented and analytical — you spot issues others miss
- Able to explain technical decisions clearly and concisely in writing
- Self-motivated and reliable when working independently in an async environment
Nice to Have
- Experience with Ruby on Rails or other Ruby-based frameworks
- Familiarity with AI tools or code evaluation workflows
- Background in code review, software architecture, or technical writing
- Exposure to testing frameworks, CI/CD pipelines, or DevOps practices
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 engineering work
- Make a direct, tangible impact on how AI understands and produces real-world code
- Potential for ongoing work and contract extension as new projects launch
