Software Engineer — AI Code Ranking

Toronto, Ontario, Canada
Remote
Posted Oct 9, 2026
1 position

US$50–US$70 / hour

Opens LinkedIn

Employment type: Contract
Experience level: Mid-level · 2+ years
Posting language: English
Working hours: 40 hours per week
Location requirements: Country, Toronto, Ontario, Canada
Seniority: Mid-Senior level

Job summary

Review, rank, and refine AI-generated code across programming languages and problem domains, assessing correctness, efficiency, readability, maintainability, security, and performance. Provide structured feedback and preference rankings to improve AI models and bring generated code up to production-level standards.

Job details

About The Role What if your years of software engineering experience could directly shape how AI writes code for millions of developers? We're looking for Software Engineers in Toronto to evaluate, rank, and refine AI-generated code — helping the next generation of coding assistants produce solutions that are correct, efficient, idiomatic, and production-ready. Toronto is home to one of the world's most vibrant tech communities, and your engineering expertise is exactly what's needed to make AI coding assistants truly world-class. This isn't about writing boilerplate — it's about applying expert judgment to push the boundaries of what AI can do with code. This is a fully remote, flexible contract role built for experienced developers who want meaningful, high-impact work on their own schedule. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Review and rank AI-generated code solutions across multiple programming languages and problem domains Evaluate code for correctness, efficiency, readability, maintainability, and adherence to best practices Identify bugs, anti-patterns, security issues, and performance bottlenecks in AI-generated outputs Write detailed, structured feedback explaining why one solution is better than another Refine and improve AI-generated code to meet production-level engineering standards Provide preference rankings that help AI models learn what "good code" actually looks like Work independently and asynchronously — fully on your own schedule Who You Are Software engineer with 3+ years of professional development experience Proficient in one or more major programming languages (e.g., Python, JavaScript/TypeScript, Java, C++, Go, Rust) Strong grasp of data structures, algorithms, and computational complexity Deep understanding of software design principles, clean code practices, and engineering trade-offs Experienced with code review — you know how to assess quality and articulate why something works or doesn't Clear, concise written communicator who can explain technical decisions effectively Self-motivated and reliable when working independently without supervision Nice to Have Experience across multiple languages, frameworks, or tech stacks Background in systems design, distributed systems, or backend architecture Familiarity with AI/ML concepts or experience using AI coding tools (Copilot, ChatGPT, etc.) Prior experience with code evaluation, technical mentoring, or open-source contribution Knowledge of security best practices and performance optimization Experience in competitive programming or technical interviewing Why Join Us Work on cutting-edge AI projects alongside leading research labs Directly influence how AI coding assistants learn to write better software Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, task-based work Leverage your hard-earned engineering expertise in a new, high-impact way Potential for ongoing work and contract extension as new projects launch Join a global community of top-tier engineers shaping the future of AI-assisted development

What you’ll do

Requirements

Applicants need at least three years of professional software development experience, proficiency in one or more major programming languages, and strong knowledge of algorithms, data structures, software design, and code quality. They should have code review experience, communicate technical judgments clearly, and work reliably and independently.