About the role
<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>
<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>
<p><strong>Schedule</strong></p>
<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>
<p><strong>Pay</strong></p>
<ul>
<li>Earn $300 per accepted task.</li>
<li>Each successfully accepted task pays $50, with potential bonuses for high quality work and specific quantities up to $180 per repository.</li>
</ul>
<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>
Responsibilities:
- Generate code repositories containing OSS-fuzz-style vulnerabilities
- Produce and validate patches for those repositories
- Complete tasks independently within a flexible, async workflow
Required qualifications:
- 1-2+ years of experience in cybersecurity
- Bachelor's degree in Computer Science or related field
- Experience with vulnerability research or security auditing
Official source: experts.afterquery.com. Details can change; the platform's page is the final word. Something wrong with this listing? Tell us.
