Software Engineer - Ruby

Alignerr Corp.; India; Remote; INR 1,335,000 - 5,340,000; Part time

Job summary

Alignerr is seeking experienced Ruby Software Engineers for AI training and evaluation projects. You will review code, build backend services, and shape tools for AI-powered development. This is a fully remote, hourly contract role with 10–40 hours per week.

Work on production-grade code, contribute to AI training efforts, and document your reasoning clearly. The position offers flexible scheduling and potential ongoing collaboration with Alignerr’s research teams.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Ruby

Backend development

REST APIs

Code review

Async collaboration

Tools

Ruby on Rails

CI/CD pipelines

Job description

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.

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