Cybersecurity Engineer - AI Trainer

AfterQuery; Bethesda (MD); Remote; USD 18,000 - 30,000; Part time

Benefits offered by this job

Fully remote

Referral bonus

Job summary

AfterQuery is seeking cybersecurity professionals for remote, part-time, project-based work. You will train frontier AI models by researching vulnerabilities and generating patches for OSS-fuzz-style repositories. Tasks are completed on your own schedule in the evenings or weekends.

Responsibilities include producing and validating patches and working independently in a fully asynchronous workflow. 1–2+ years in cybersecurity and a CS degree are preferred, with experience in fuzzing and

Qualifications

• 1-2+ years of cybersecurity experience.
• Bachelor's degree in Computer Science or related field.
• Experience with vulnerability research or security auditing.
• Experience with fuzzing tools or OSS-fuzz style vulnerability research.
• Experience writing and patching code in C, C++, or similar low-level languages.
• More than 2 years of hands-on security research experience.

Responsibilities

• Produce and validate patches for repositories.
• Complete tasks independently within a flexible, async workflow.

Skills

Cybersecurity

Vulnerability research

Security auditing

Education

Bachelor's degree in Computer Science or related field

Tools

OSS-fuzz style tooling

C/C++

Job description

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

• Earn $300 per accepted task.
• Each successfully accepted task pays $50, with potential bonuses for high quality work and specific quantities up to $180 per repository.

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

• Fully remote, work on your own schedule
• $200 referral bonus for bringing in other qualified experts

Responsibilities

• 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 C, C++, or similar low-level languages
• More than 2 years of hands-on security research experience

About AfterQuery

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.