Research Engineer - Code Generation & Model Evaluation

Role Title: Research Engineer - Code Generation & Model Evaluation Role Type: Contractor Location: Remote micro1 is engaging Research Engineers to participate in a project focused on code generation and model evaluation for a customer's initiative. 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. Scope of Work 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. Required Skills and Qualifications: 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. Compensat