Software Engineer (AI Training) — Remote Contract

Software Engineer (AI Training) — Remote Contract About the Role What if the code you write could directly shape how the next generation of AI understands and generates software? We're looking for Software Engineers based in or around New York City to build, evaluate, and improve AI-generated code — helping train AI systems to think like real developers. You'll write solutions, review AI outputs, and provide the expert-level feedback that makes AI coding assistants smarter, safer, and more reliable. This is hands-on engineering work at the frontier of AI development — not theoretical, not bureaucratic, and not boring. This is a fully remote, flexible contract role. If you can write clean code and explain your reasoning, we want to hear from you. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 10–40 hours/week What You'll Do Write, debug, and optimize code across a range of languages, frameworks, and problem domains Review and evaluate AI-generated code for correctness, efficiency, readability, and best practices Identify bugs, logic errors, security issues, and performance bottlenecks in AI outputs Provide structured, detailed feedback explaining why code works — or doesn't Design challenging coding prompts and edge-case scenarios to stress-test AI capabilities Compare and rank multiple AI-generated solutions based on engineering quality Work independently and asynchronously — fully on your own schedule Who You Are Proficient in one or more programming languages (Python, JavaScript, Java, C++, Go, TypeScript, or similar) Solid understanding of data structures, algorithms, and software design principles Able to read, write, and reason about code with clarity and precision Strong problem-solving instincts and a systematic debugging approach Clear written communicator — you can explain technical decisions in plain language Self-motivated and reliable when working independently without supervision Bachelor's degree in Computer Science, Soft