Software Engineer (AI Training)
Role Overview
Build, evaluate, and improve AI-generated code to help train AI systems to understand and generate software.
This is hands-on software engineering work involving code solutions, review of AI outputs, and expert feedback.
The role is fully remote and flexible, with a stated commitment of 10–40 hours per week.
Key Skills for This Role
Full Job Posting
Role overview
Build, evaluate, and improve AI-generated code to help train AI systems to understand and generate software.
This is hands-on software engineering work involving code solutions, review of AI outputs, and expert feedback.
The role is fully remote and flexible, with a stated commitment of 10–40 hours per week.
What you’ll do
- Write, debug, and optimize code across languages, frameworks, and problem domains.
- Evaluate AI-generated code for correctness, efficiency, readability, and best practices; identify bugs, security issues, and performance bottlenecks.
- Provide detailed feedback, design challenging coding prompts and edge cases, and rank competing AI-generated solutions.
- Work independently and asynchronously on your own schedule.
Candidate requirements
- Proficiency in one or more programming languages, including Python, JavaScript, Java, C++, Go, TypeScript, or similar.
- Solid understanding of data structures, algorithms, and software design principles.
- Ability to reason about code clearly, solve problems systematically, and communicate technical decisions in writing.
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- Self-motivated and reliable when working independently.
Preferred experience
- Experience across multiple languages or stacks, including full-stack, backend, systems, or data engineering, is a plus.
- Familiarity with AI/ML, LLMs, or prompt engineering is a plus.
- Code review, technical writing, mentoring, cloud, DevOps, distributed systems, competitive programming, open-source work, and relevant side projects are advantageous.
- An advanced degree in Computer Science or a related discipline is a plus.
Contract and compensation
- The description identifies the role as an hourly contract.
- Potential for ongoing work and contract extension as projects launch.
Workplace
- Fully remote; the description says the work can be done from anywhere.
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