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Responsibilities:
- Review cybersecurity prompts submitted to an AI system that cannot be confidently classified as benign or malicious.
- Determine the underlying intent and goal behind each prompt, assessing whether the user is pursuing a legitimate purpose or intent to cause harm.
- Apply deep domain expertise to judge the technical context, specificity, and real-world uplift a response would give an attacker.
Requirements:
- Minimum 5 years of hands-on experience in vulnerability research and reverse engineering.
- Proven ability to discover vulnerabilities through fuzzing, static and dynamic analysis, and patch diffing.
- Fluent use of IDA, Ghidra, Binary Ninja, and debuggers on x86/x64 and ARM binaries.
Nice to Have:
- OSED, OSEE, or GIAC GXPN certifications.
- Demonstrated achievements on HackTheBox, Pwn2Own, TryHackMe, or security research publications.
About the Company:
- Builds specialized evaluation infrastructure for AI safety and robustness testing.
- Currently expanding a freelance contributor pool for scenario and environment development.
SD Solutions
This company builds specialized evaluation infrastructure for AI safety and robustness testing. Their platform simulates adversarial conditions to validate AI agent behavior before deployment, and they are currently expanding their contributor network.