Software Engineer (AI Training)

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 in the Denver metro 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.

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, Software Engineering, or a related field — or equivalent practical experience

Nice to Have

• Experience across multiple languages or tech stacks (full-stack, backend, systems, data engineering)
• Familiarity with AI/ML concepts, LLMs, or prompt engineering
• Background in code review, technical writing, or mentoring junior developers
• Experience with cloud platforms, DevOps, or distributed systems
• Competitive programming, open-source contributions, or side projects that demonstrate your craft
• Advanced degree in Computer Science or related discipline