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AfterQuery is seeking cybersecurity professionals for a paid, part-time remote project focused on training frontier AI models in cybersecurity workflows. Tasks involve generating code repositories with OSS-fuzz-style vulnerabilities and creating correct patches.
Work is fully asynchronous with no set hours, allowing evenings or weekends. Earn per-task pay with potential bonuses for high quality work and quantities up to $180 per repository.
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.