Opportunity for software developers, founders, engineering teams, and code owners to submit existing repositories for licensing evaluation. Eligible code includes abandoned startups, personal projects, internal tools, SaaS products, and discontinued applications. Applicants must own or legally control the code and exclude unauthorized third-party material. Compensation is based on agreed licensing terms, with reference rates for non-exclusive licensing.

Build realistic backend coding challenges, feature implementations, bug fixes, and deterministic verifiers for AI training projects. Evaluate code correctness, reliability, maintainability, and performance while incorporating automated testing, validation criteria, edge-case analysis, and secure coding practices. Work independently on scalable backend systems and APIs, refine tasks based on requirements, and document technical solutions clearly.

Debug and improve software across diverse codebases, identify and remediate vulnerabilities, conduct security audits and penetration testing, refactor legacy systems, optimize backend applications, and document technical findings. The role contributes cybersecurity and software engineering expertise to AI training datasets while working independently on project-defined tasks.