Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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)
Company Overview