We're looking for highly accomplished **Cybersecurity Research Experts** to help evaluate cutting-edge AI systems in advanced security reasoning, vulnerability analysis, exploit development, and secure software engineering. This project is ideal for practitioners with a strong track record in offensive security research and publicly recognised technical contributions. ### What You'll Do - Evaluate AI-generated analyses of complex cybersecurity scenarios, exploits, and vulnerability reports. - Review technical writeups for correctness, exploitability, and mitigation quality. - Validate vulnerability root-cause analysis across software, operating systems, networking, cloud, and web applications. - Provide structured feedback on security reasoning, exploit chains, and defensive recommendations. - Contribute to benchmark development for advanced AI security capabilities. ### Ideal Background We are looking for candidates with **multiple** of the following credentials: - Member of a **top-ranked Capture The Flag (CTF)** team with demonstrated competitive achievements. - Discoverer or co-author of **CVEs** affecting widely used open-source or commercial software. - Publicly recognised **bug bounty** researcher with findings accepted by major programs (e.g., Google, Microsoft, Apple, Meta, GitHub, Mozilla, Chromium, Kubernetes, Linux Foundation, etc.). - Research experience at a **well-respected security laboratory or academic research group** (e.g., KAIST Security Lab, SSLab, university security research groups, or equivalent industry research organisations). - Author of high-quality **security research publications**, conference papers, or widely cited technical writeups. - Strong understanding of exploit development, reverse engineering, binary analysis, vulnerability research, operating systems, networks, web security, or cryptography. ### Preferred Qualifications - Professional experience in offensive security, application security, vulnerability research, product security, or security engineering. - Experience with reverse engineering tools such as IDA Pro, Ghidra, Binary Ninja, or Radare2. - Familiarity with fuzzing, symbolic execution, static analysis, or dynamic analysis frameworks. - Experience with Linux internals, Windows internals, browser security, cloud security, embedded security, or mobile security. - Strong programming skills in C/C++, Rust, Python, Go, or Java. - Excellent written communication and ability to explain complex security concepts clearly. ### Nice to Have - Hall of Fame recognition from major bug bounty programs. - Black Hat, DEF CON, USENIX Security, IEEE S&P, ACM CCS, NDSS, or similar conference presentations/publications. - Maintainer or significant contributor to well-known open-source security tools. - Offensive Security certifications (OSCP, OSEP, OSCE3), GIAC certifications, or equivalent credentials. ### Why Join? - Work on frontier AI models tackling real-world cybersecurity problems. - Collaborate with leading researchers on advanced security evaluation tasks. - Help shape the next generation of AI systems for cybersecurity.
Remote Cybersecurity Research Expert – Offensive Security & Vulnerability Research - AI Trainer ($200-$250 per hour) • Roseville, Michigan, US
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Join our distributed team and help evaluate online platforms through interactive testing assignments.This is a flexible, remote opportunity with full training provided and no prior experience requi... Show more
Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of bet... Show more
Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of bet... Show more
Join our distributed team and help evaluate online platforms through interactive testing assignments.This is a flexible, remote opportunity with full training provided and no prior experience requi... Show more
