Research Engineer - Code Generation & Model Evaluation

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 existing codebases to improve performance, maintainability, and adaptability.
• Develop and review realistic coding tasks used to evaluate AI model performance and accuracy.
• Validate code and technical outputs for correctness, consistency, and compliance with project specifications.
• Author clear and actionable technical feedback and annotations to support AI model training and assessment.
• Collaborate with open-source contributors and technical stakeholders to establish technical direction and produce robust outputs.
• Document technical decisions, solutions, and best practices to support transparency and knowledge sharing.
• Analyze complex coding problem constraints and evaluate multiple potential solution paths.
• Complete and submit the required minimum number of qualifying tasks each week.

Skills

Requirements

• Expertise in competitive programming and coding problem analysis.
• Expertise in at least one of Python3, Java, Rust, C++, Go, or TypeScript.
• Solid knowledge of algorithms and data structures.
• Proven track record of open-source contributions or participation in collaborative software projects.
• Strong analytical ability to interpret complex problem constraints and evaluate multiple solution approaches.
• Exceptional written and verbal communication skills with the ability to explain technical details clearly.
• Meticulous attention to detail in code validation and output consistency.
• Ability to independently analyze, debug, modify, and improve unfamiliar codebases.
• Experience working independently in a remote and collaborative environment.
• Commitment to producing high-quality, well-documented code under tight deadlines.
• Availability to begin initial tasks within 24–48 hours after completing onboarding if selected.
• Ability to meet the project's minimum weekly task submission requirements.
• No prior professional AI experience is required.

Benefits

• Fully remote contractor opportunity.
• Listed compensation range of $50–$100 per hour, with actual compensation structured on an output-based per-task basis.
• Opportunity to work on code generation and advanced AI model evaluation.
• Hands-on work across diverse real-world codebases and programming languages.
• Opportunity to contribute to next-generation AI coding and reasoning systems.
• Collaboration with open-source contributors and technical stakeholders.
• Flexible task execution based on expertise and workflow, subject to minimum weekly submission requirements.
• Fast hiring process, with roles typically filled within 48 hours.
• Selected contributors can begin their first tasks within 24–48 hours after onboarding.
• No prior AI experience required.