Software Engineering Expert (AI Training)

Key Responsibilities

• Design reproducible software engineering environments for evaluating AI model performance.
• Develop high-quality reference ("golden") solutions for complex programming challenges.
• Contribute expert-level code samples in one or more of the following languages: Python, Java, Rust, Go, C++, TypeScript.
• Analyze, debug, and resolve complex software defects across diverse codebases.
• Design, implement, and validate scalable software features following industry best practices.
• Refactor legacy applications to improve maintainability, readability, and performance.
• Optimize software systems by identifying bottlenecks and improving efficiency.
• Document technical reasoning, implementation decisions, and solution methodologies to improve AI training quality.
• Review and validate technical submissions, ensuring correctness, clarity, and engineering excellence.
• Collaborate remotely with cross-functional teams to continuously improve project quality and deliverables.

Required Qualifications

• Strong hands-on experience with at least one of the following programming languages: Python, Java, Rust, Go, C++, TypeScript.
• Deep understanding of algorithms, data structures, object-oriented programming, and software engineering principles.
• Proven experience debugging complex software systems and resolving production issues.
• Experience implementing scalable software features throughout the software development lifecycle.
• Strong background in refactoring and modernizing existing codebases.
• Excellent analytical, problem-solving, and debugging skills.
• Ability to communicate technical concepts clearly through written documentation.
• Comfortable working independently in a fully remote environment.

Preferred Qualifications

• Experience working with large-scale or distributed software systems.
• Background in software architecture, performance optimization, or system design.
• Experience contributing to open-source projects or maintaining production-grade applications.
• Familiarity with code reviews, engineering best practices, and collaborative software development workflows.
• Interest in artificial intelligence, machine learning, or AI-assisted software development (prior AI experience is not required).

Pay

Performance-based compensation paid per successfully completed task. Earnings are based on completed work that meets project quality requirements. Minimum weekly task submission requirements apply.

Schedule

Immediate availability is preferred. Must-Have Skills: Software Engineering, Python / Java / Rust / Go / C++ / TypeScript, Algorithms, Data Structures, Debugging, Code Refactoring, Performance Optimization, Good-to-Have Skills: Distributed Systems, System Design, Software Architecture, Open Source Contributions, AI/ML Interest.

Benefits

No benefits are offered for this position.

Benefits

No benefits are offered for this position.