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AfterQuery is seeking a cybersecurity professional for a fully remote, project-based role. Work asynchronously with flexible hours, earning per accepted task and potential bonuses.
The focus is on producing and validating patches for OSS-fuzz style repositories while contributing to frontier AI model training in cybersecurity workflows. The ideal candidate has 1–2+ years of cybersecurity experience, a CS degree, and hands-on vulnerability research or security auditing.
Paid, part-time remote project helping train frontier AI models on cybersecurity workflows. Flexible hours designed to fit around a full-time role.
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.
This is an excellent opportunity to contribute to cutting edge AI model training while earning competitive pay on a flexible, project-by-project basis.
AfterQuery is a research lab investigating the boundaries of artificial intelligence through novel datasets and experimentation. We believe great AI comes from exceptional, human-generated data.
We're backed by top investors, including Y Combinator and Box Group, and support all leading AI labs.