Software Engineer — AI Code Ranking
Indexed description
Your deep understanding of software architecture, design patterns, and real-world engineering trade-offs is exactly what AI models need to get better. 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
- 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
- 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
- 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
- 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
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