Remote Ruby Engineer for AI Training and Code Evaluation

Alignerr Corp.; South Africa; On-site; ZAR 904,000 - 1,809,000; Part time

Job summary

Alignerr is seeking a Ruby Software Engineer to help build production-grade systems and shape datasets for AI training tools. You will design backend services, review real-world codebases, and work on task-based assignments with flexible hours.

Join a remote, freelance-style role that values clean code, strong architecture, and independent work across distributed teams, with ongoing opportunities on new AI projects.

Qualifications

• 2+ years of professional software engineering experience.
• Strong proficiency in Ruby and core backend development concepts.
• Comfortable reasoning about production codebases, REST APIs, and data-driven systems.
• Detail-oriented and analytical - you can clearly explain the why behind technical decisions.
• Self-motivated and reliable when working independently without close supervision.

Responsibilities

• Design, build, and maintain backend services and APIs using Ruby and Ruby-based frameworks.
• Review and analyze real-world codebases for correctness, performance, and maintainability.
• Evaluate realistic software engineering scenarios and help create high-quality technical datasets.
• Validate and refine AI-generated Ruby code - identifying bugs, edge cases, and architectural weaknesses.
• Collaborate asynchronously with researchers and engineers supporting AI training and evaluation efforts.
• Work independently on task-based assignments, fully on your own schedule.

Skills

Ruby

REST APIs

Backend development

Code reasoning

Independent work

Tools

Rails

RSpec

Minitest

Job description

Alignerr is seeking a Ruby Software Engineer to help build production-grade systems and shape datasets for AI training tools. You will design backend services, review real-world codebases, and work on task-based assignments with flexible hours.

Join a remote, freelance-style role that values clean code, strong architecture, and independent work across distributed teams, with ongoing opportunities on new AI projects.