{"html":"<p>Paid, part-time remote project helping train frontier AI models on cybersecurity workflows. Flexible hours designed to fit around a full-time role.</p>\n<p>This is a remote, project-based role for cybersecurity professionals with 1+ years of hands-on experience in vulnerability research. You will complete tasks involving generating code repositories with OSS-fuzz-style vulnerabilities and producing correct patches for them.</p>\n<h4>Schedule</h4>\n<p>Work is fully asynchronous with no set hours or meetings required, and tasks can be completed on your own schedule during evenings or weekends.</p>\n<h4>Pay</h4>\n<ul>\n<li>Earn $300 per accepted task.</li>\n<li>Each successfully accepted task pays $50, with potential bonuses for high quality work and specific quantities up to $180 per repository.</li>\n</ul>\n<p>This is an excellent opportunity to contribute to cutting edge AI model training while earning competitive pay on a flexible, project-by-project basis.</p><h3>Responsibilities</h3><ul><li>Generate code repositories containing OSS-fuzz-style vulnerabilities</li><li>Produce and validate patches for those repositories</li><li>Complete tasks independently within a flexible, async workflow</li></ul><h3>Requirements</h3><ul><li>1-2+ years of experience in cybersecurity</li><li>Bachelor&#39;s degree in Computer Science or related field</li><li>Experience with vulnerability research or security auditing</li></ul><h3>Preferred qualifications</h3><ul><li>Experience with fuzzing tools or OSS-fuzz style vulnerability research</li><li>Experience writing and patching code in C, C++, or similar low-level languages</li><li>More than 2 years of hands-on security research experience</li></ul>"}