Job Description 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. Work is fully asynchronous with no set hours or meetings required, and tasks can be completed on your own schedule during evenings or weekends. Each successfully accepted task pays $300, with potential bonuses for high quality work. Most tasks take approximately 2-3 hours to complete. This is an excellent opportunity to contribute to cutting edge AI model training while earning competitive pay on a flexible, project-by-project basis. Why Apply
$300 per successfully accepted task plus potential bonuses
Fully remote, work on your own schedule
Evenings/weekends friendly, 2-3 hours per task
$200 referral bonus for bringing in other qualified experts
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
Preferred Qualifications
Experience with fuzzing tools or OSS-fuzz style vulnerability research
Experience writing and patching code in low-level languages
More than 2 years of hands-on security research experience
Company Description AfterQuery is a research lab investigating the boundaries of artificial intelligence through novel datasets and experimentation. We're backed by top investors, including Y Combinator and Box Group, and support all leading AI labs.