We are seeking experienced Software Engineering Experts to help train next-generation AI systems through high-quality technical contributions. Your software engineering expertise will be used to create realistic coding environments, develop reference solutions, and evaluate complex engineering tasks that improve AI reasoning and problem-solving capabilities.
In this role, you will design reproducible software engineering challenges covering bug fixing, feature development, code refactoring, and performance optimization. No prior AI experience is required-your expertise in software development is what matters.
- 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.
- 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).
- 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.
- Fast onboarding process with opportunities to begin contributing within 24-48 hours after successful onboarding. - Immediate availability is preferred.
- Software Engineering - Python / Java / Rust / Go / C++ / TypeScript - Algorithms - Data Structures - Debugging - Code Refactoring - Performance Optimization
- Distributed Systems - System Design - Software Architecture - Open Source Contributions - AI/ML Interest - Technical Documentation
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