Senior Software Engineer for AI-Generated Code Review

Alignerr • Germany

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

We're looking for a Senior Software Engineer to evaluate, rank, and refine AI-generated code. This is a fully remote, flexible contract role that requires 3+ years of professional development experience and proficiency in one or more major programming languages.

Key Highlights

Review and rank AI-generated code solutions

Evaluate code for correctness, efficiency, readability, and maintainability

Refine and improve AI-generated code to meet production-level engineering standards

Key Responsibilities

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

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Technical Skills Required

Python JavaScript/TypeScript Java C++ Go Rust Data structures Algorithms Computational complexity Software design principles Clean code practices Engineering trade-offs

Benefits & Perks

Fully remote and flexible contract role

10–40 hours/week

Hourly compensation

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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

Job Description

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 Berlin 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.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.

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