Research Engineer - Code Generation & Model Evaluation

Xperteez Technology•,

1d•$50 - $100•Remote

About The Position

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters.

Requirements

Expertise in competitive programming and coding problem analysis.
Expertise in at least one of: Python3, Java, Rust, C++, Go, or TypeScript, with solid knowledge of algorithms and data structures.
Proven track record of open-source contributions or participation in collaborative software projects.
Strong analytical abilities to interpret complex problem constraints and multiple solution paths.
Exceptional written and verbal communication skills; ability to articulate technical details clearly.
Meticulous attention to detail in code validation and output consistency.
Experience working independently in a remote, collaborative environment.
Commitment to producing high-quality, well-documented code under tight deadlines.

Nice To Haves

No prior experience in AI is required - your domain knowledge is what matters.

Responsibilities

Analyze, debug, and resolve issues across diverse codebases written in Python3, Java, Rust, C++, Go, or TypeScript.
Contribute to the design and implementation of new features and enhancements for code generation workflows.
Refactor and optimize codebases to improve performance, maintainability, and adaptability.
Develop and review real-world coding tasks to evaluate AI model performance and accuracy.
Author clear, actionable feedback and annotations to support model training and assessment.
Collaborate with other open-source contributors and technical stakeholders to set technical direction and ensure robust outputs.
Document technical decisions, best practices, and solutions to drive project transparency and knowledge sharing.