Research Engineer, Code Generation & Model Evaluation

Apply advanced software engineering and problem-solving expertise to code generation and model evaluation work that helps improve how next-generation AI systems learn, reason, and perform. This remote contract role centers on real-world coding challenges, codebase improvement, technical evaluation, and precise feedback. Prior AI experience is not required. Key Responsibilities

• Analyze, debug, and resolve issues across codebases written in Python 3, Java, Rust, C++, Go, or TypeScript.
• Design and implement new features and enhancements for code generation workflows.
• Refactor and optimize codebases to improve performance, maintainability, and adaptability.
• Develop and review realistic coding tasks used to evaluate AI model performance and accuracy.
• Write clear, actionable feedback and annotations that support model training and assessment.
• Collaborate with open-source contributors and technical stakeholders to establish technical direction and produce robust outputs.
• Document technical decisions, best practices, and solutions to support transparency and knowledge sharing.

• Expertise in competitive programming and coding problem analysis.
• Expertise in at least one of the following languages: Python 3, Java, Rust, C++, Go, or TypeScript.
• Solid knowledge of algorithms and data structures.
• Proven open-source contributions or experience participating in collaborative software projects.
• Strong analytical ability to interpret complex problem constraints and evaluate multiple solution paths.
• Exceptional written and verbal communication skills, including the ability to explain technical details clearly.
• Meticulous attention to detail when validating code and maintaining output consistency.
• Experience working independently in a remote, collaborative environment.
• Ability to produce high-quality, well-documented code under tight deadlines.
• Relevant experience may include bug fixing, feature implementation, codebase refactoring, and performance optimization.

• Remote contractor engagement.
• Work is task-based, and completion time may vary based on experience and individual workflow.
• Minimum submission requirements apply, including a required minimum number of tasks each week. The source does not specify the exact weekly task count.
• Roles are typically filled within 48 hours, with preference for experts who are available to begin promptly.
• Participation is subject to selection for the project.

• The listed compensation range is $50 to $100 per hour.
• The compensation structure is described as output-based, with payment made for each task that meets project specifications.

Candidates apply for consideration and, if selected, complete the required onboarding process. Selected experts are expected to begin their first tasks within 24 to 48 hours after onboarding is completed.