13D AGO

Research Engineer - Code Generation & Model Evaluation

micro1 / Research Engineer - Code Generation & Model Evaluation

RATE

$50 - $100/HR

LOCATION

REMOTE (GLOBAL)

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DESCRIPTION

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

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.