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AfterQuery is a research lab offering a paid, part-time remote project to help train frontier AI models on cybersecurity workflows. As a cybersecurity professional with 1+ years of hands-on experience in vulnerability research, you will produce patches for OSS-fuzz style repositories and validate them.
Work is asynchronous with flexible evenings or weekends. You can earn per task up to $300, with additional $50 per task and potential bonuses up to $180 per repository, plus a $200 referral bonus
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.
Schedule
Work is fully asynchronous with no set hours or meetings required, and tasks can be completed on your own schedule during evenings or weekends.
Pay
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.