Software Engineer (AI Training)

Role overview

What you'll do

• Write, debug, and optimize code across languages, frameworks, and problem domains.
• Review AI-generated code for correctness, efficiency, readability, and best practices.
• Identify bugs, logic errors, security issues, and performance bottlenecks in AI outputs.
• Provide structured feedback explaining why code works or does not work.
• Create challenging coding prompts and edge cases to test AI capabilities.
• Compare and rank multiple AI-generated solutions by engineering quality.
• Work independently and asynchronously on a flexible schedule.

Who you are

• Proficiency in one or more programming languages, such as 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 clearly and precisely.
• Strong problem-solving ability and a systematic debugging approach.
• Clear written communicator able to explain technical decisions in plain language.
• Self-motivated and reliable when working independently.
• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

Nice to have

• Experience across multiple languages or technology stacks, including full-stack, backend, systems, or data engineering.
• Familiarity with AI/ML concepts, large language models, 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, side projects, or an advanced relevant degree.

Project and work benefits

• Work on AI projects alongside research labs and influence how AI writes and reasons about code.
• The role offers schedule flexibility and potential ongoing work or contract extension as projects launch.