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AfterQuery is seeking cybersecurity professionals for a paid, part-time remote project to help train frontier AI models on cybersecurity workflows. Work is fully remote and asynchronous with no set hours, ideal for evenings or weekends.
You will produce and validate patches for repositories and complete tasks independently within a flexible workflow. Required: 1-2+ years in cybersecurity, a Bachelor's in CS or related field, and experience with 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.