Go - Software Engineer, AI

G2i Inc. • Miami, FL

18h • Remote

About The Position

This role involves training large language models (LLMs) to generate production-grade code across various programming languages. The core tasks include comparing and ranking multiple code snippets, providing explanations for the best choices, and repairing and refactoring AI-generated code to ensure correctness, efficiency, and adherence to style guidelines. You will also be responsible for injecting feedback, such as ratings, edits, and test results, into the Reinforcement Learning from Human Feedback (RLHF) pipeline to ensure its smooth operation. The ultimate goal is to teach the model to propose, critique, and improve code in a manner similar to an expert engineer. The RLHF process involves generating code, having expert engineers rank, edit, and justify their choices, converting this feedback into reward signals, and then using reinforcement learning to fine-tune the model towards producing ship-ready code.

Requirements

• 3+ years of professional software engineering experience in Go
• Strong code-review instincts — you can spot logic errors, performance traps, and security issues quickly
• Extreme attention to detail and excellent written communication skills
• Comfortable reading documentation and language specs, and able to work well in an asynchronous, low-oversight environment
• Identity verification: Applicants will be required to verify their identity and confirm they have valid documentation to work as an independent contractor in their country of residence

Nice To Haves

• Constraint programming experience

Responsibilities

• Help train large language models (LLMs) to write production-grade code across a wide range of programming languages
• Compare and rank multiple code snippets, explaining which is best and why
• Repair and refactor AI-generated code for correctness, efficiency, and style
• Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees