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This position was posted on April 15, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

G2i Inc. logo

Software Engineer, AI (Java)

Job Overview

Location

Miami

Job Type

Contract

Category

Software Engineering

Date Posted

April 15, 2026

Full Job Description

šŸ“‹ Description

  • • As a Software Engineer, AI (Java) at G2i Inc., you will play a critical role in training large language models (LLMs) to write production-grade code by evaluating, refining, and providing feedback on AI-generated Java code.
  • • Your day-to-day responsibilities include comparing and ranking multiple code snippets for correctness, efficiency, and style; repairing and refactoring AI-generated code; and injecting detailed feedback (ratings, edits, test results) into the RLHF (Reinforcement Learning from Human Feedback) pipeline to improve model performance.
  • • You will work as part of a distributed, expert engineering team focused on advancing AI’s ability to produce reliable, ship-ready code — contributing directly to the development of AI tools that assist developers in real-world software engineering tasks.
  • • In this role, you will deepen your expertise in Java code quality, strengthen your ability to articulate technical trade-offs, and gain hands-on experience in AI alignment and RLHF processes — all while working autonomously in a flexible, remote-first environment.

Skills & Technologies

Java
REST
Remote
$30-70/hr

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About G2i Inc.

G2i is a technical talent marketplace that pre-vets React, React Native, and Node.js engineers for U.S. companies. Founded by developers to solve hiring pain, it runs extensive code reviews, pair-programming interviews, and background checks before matching engineers for contract or full-time remote roles. G2i emphasizes mental health, offering a monthly wellness stipend and a zero-burnout policy. The company also provides direct-hire services and manages payroll, compliance, and ongoing support, enabling startups and enterprises to scale engineering teams quickly while maintaining code quality and developer well-being.

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