Software Engineer - Ruby

Alignerr Corp.; United States; Remote; GBP 55,000 - 96,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Freelance autonomy

Job summary

Alignerr is seeking a Ruby Software Engineer to help shape AI training pipelines by building and reviewing production-grade backend systems. You will work on real-world software that powers AI-driven workflows and contribute to validating datasets and model understanding.

This fully remote, hourly contract offers flexible hours (10–40 per week). You’ll collaborate asynchronously with researchers and engineers to deliver robust Ruby-based services and clear technical documentation.

Qualifications

• 2+ years of professional software engineering experience.
• Strong proficiency in Ruby and backend development concepts.
• Comfortable with production codebases, APIs, and data-driven systems.
• Detail-oriented and analytical; able to explain technical reasoning clearly.

Responsibilities

• Develop and maintain backend services and APIs using Ruby and Ruby-based frameworks.
• Review and analyze existing codebases for correctness, performance, and maintainability.
• Evaluate realistic software engineering scenarios to help create and validate technical datasets.
• Reason through production-grade backend systems and document technical decisions.
• Collaborate asynchronously with researchers and engineers supporting AI training and evaluation efforts.

Skills

Ruby

Backend development

APIs

Code review

Technical writing

Job description

About The Role

What if your Ruby expertise could directly influence how AI writes and understands backend code for developers around the world? We're looking for experienced Ruby Software Engineers to work on real-world software systems that power data-driven and AI-supported workflows — reviewing, building, and evaluating production-grade code that helps train the next generation of AI models.

Software Engineer – Ruby (AI Training)

About The Role

What if your Ruby expertise could directly influence how AI writes and understands backend code for developers around the world? We're looking for experienced Ruby Software Engineers to work on real-world software systems that power data-driven and AI-supported workflows — reviewing, building, and evaluating production-grade code that helps train the next generation of AI models.

This is a fully remote, flexible contract role. Work asynchronously on your own schedule, take on as many hours as suits you, and make a tangible impact on how AI reasons about software engineering.

• Organization: Alignerr
• Type: Hourly Contract / Task-Based
• 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 and analyze existing codebases for correctness, performance, and maintainability
• Evaluate realistic software engineering scenarios to help create and validate technical datasets
• Reason through production-grade backend systems and clearly document your technical decisions
• Collaborate asynchronously with researchers and engineers supporting AI training and evaluation efforts

Who You Are

• 2+ years of professional software engineering experience
• Strong proficiency in Ruby and backend development concepts
• Comfortable working with production codebases, APIs, and data-driven systems
• Detail-oriented and analytical — you can spot a subtle bug and explain exactly why it matters
• Clear communicator who can articulate technical reasoning in writing

Nice to Have

• Experience with Ruby on Rails or other Ruby-based frameworks
• Background in code review, technical writing, or software quality evaluation
• Familiarity with AI tools or data annotation workflows
• Exposure to distributed systems, REST APIs, or backend architecture design

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