Software Engineering Expert (AI Training)

Weekday AI is seeking experienced Software Engineering Experts to help train next-generation AI systems through high-quality technical contributions. The role involves designing software engineering challenges and developing solutions to improve AI reasoning and problem-solving capabilities.

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

Requirements:

• 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
• 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)