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.
What if your Ruby skills could directly influence how AI understands, writes, and reasons about real-world software systems?
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.
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.
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.
Required skills
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.
Preferred skills
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.
Experience and education
2+ years of professional software engineering experience.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.