Job Details

About The Role

What if your deep software engineering expertise could directly shape how the next generation of AI writes code? We're looking for senior-level developers to evaluate, compare, and rank AI-generated code — helping AI systems learn what separates good code from great code.

Job Details

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Compare pairs of AI-generated code solutions and rank them based on quality, correctness, and engineering best practices
• Evaluate code for functional accuracy—verifying that solutions produce correct outputs across standard and edge cases
• Assess code quality factors including readability, efficiency, maintainability, and adherence to idiomatic patterns
• Identify bugs, logic errors, security issues, and performance bottlenecks in AI-generated code
• Write clear, structured justifications explaining your ranking decisions
• Work across multiple programming languages and problem domains — from algorithms and data structures to systems design and API integrations
• Complete task-based assignments independently on your own schedule

Who You Are

• Senior‑level software engineer with 5+ years of professional development experience
• Proficient in at least two of the following: Python, JavaScript/TypeScript, Java, C++, Go, or Rust
• Strong understanding of algorithms, data structures, and computational complexity
• Experienced in code review — you can quickly spot issues and articulate what makes one solution better than another
• Deep knowledge of software engineering best practices: clean code, design patterns, testing, and performance optimization
• Clear written communicator who can explain technical reasoning concisely
• Self‑motivated and consistent when working independently without supervision

Nice to Have

• Experience with machine learning, AI/ML pipelines, or training data curation
• Background in competitive programming, technical interviewing, or algorithmic problem-solving
• Familiarity with RLHF (Reinforcement Learning from Human Feedback) or preference‑based AI training
• Experience across both backend and frontend development
• Contributions to open‑source projects or technical mentoring experience
• Knowledge of security best practices and common vulnerability patterns

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
• Your engineering expertise directly shapes how AI understands and generates code at scale
• Intellectually stimulating work that keeps your skills sharp across languages and domains
• Potential for ongoing work and contract extension as new projects launch