About this role
The work
You will help train AI models on real-world cybersecurity and vulnerability research workflows. The work uses hands-on security judgment, code creation, patching, and review.
- Create code repositories containing realistic OSS-Fuzz-style vulnerabilities.
- Develop and validate patches that correctly fix the vulnerabilities.
- Use cybersecurity and security-auditing judgment to assess whether repositories and patches are technically sound.
- Complete project tasks independently in a fully asynchronous workflow.
What it pays and takes
This is a paid, part-time, project-based contractor opportunity with flexible scheduling. Tasks can fit around other professional commitments.
- $75 per hour.
- Part-time project work with no set hours or required meetings.
- Open to candidates in the listed countries, including the United States, Canada, Australia, and the United Kingdom.
- Fluent English.
- At least one year of hands-on experience in cybersecurity or vulnerability research.
- Experience in security auditing or related work.
- A bachelor's degree in computer science or a related field.
- Ability to write and patch code in C, C++, or similar low-level languages.
- Experience with fuzzing tools and OSS-Fuzz-style vulnerability research is helpful.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind systems that learn from examples, including code, written responses, images, and other data. Experienced specialists are paid for applying careful technical judgment that helps models produce safer and more useful results.
Requirements
- Languages: English