Job Type: Flexible Contract (Remote), Philippines Job Summary: We are hiring PhD-level Cybersecurity Researchers for a contract project that tests whether frontier AI models can handle real security research work. You will create hard tasks from your field that a leading AI model cannot solve, then review where and why it fails.
What you will do
- Create command line tasks based on real security research problems. Examples:
- Find and patch a vulnerability in a real codebase, such as memory corruption, an injection flaw, a race condition or an authentication bypass.
- Reverse engineer a suspicious binary and report its behavior, persistence methods and indicators of compromise.
- Analyze a packet capture or system logs to reconstruct an intrusion and identify the root cause.
- Audit a cryptographic protocol or implementation and fix misuse of keys, nonces or randomness.
- Triage a fuzzer crash, determine whether it is exploitable, and write the fix.
- Evaluate a defense or detection method and find where it fails.
- Build each task’s environment, including the code, data and dependencies, and write a reference solution.
- Write automated tests that check whether a solution is correct, with consistent results on every run.
- Run your task against a leading AI model, review its attempt, and adjust the task until the model fails because the problem is truly hard, not because the instructions are unclear.
Who we are looking for
- A PhD in computer science, security, engineering or a closely related STEM field. PhD candidates and students are welcome to apply.
- Hands-on research or industry experience in security, such as vulnerability research, reverse engineering, malware analysis, applied cryptography, systems security or network security. Ten or more years of experience is ideal.
- At least one publication, academic or professional, such as a paper at a security venue, a CVE write-up, a conference talk or a technical advisory.
- Comfort with Python, the Linux command line, Docker and Git.
- Familiarity with tools such as Ghidra, gdb, Wireshark, fuzzers or similar analysis tooling is a plus.
- Experience with experimental design, benchmarking or testing AI systems is a plus.
- Experience with machine learning security or LLM security is a plus.
- Peer review experience, or experience building technical tests, CTFs or assessments, is an advantage.
- Able to work independently in a remote setting and explain technical findings clearly.
- Based in the Philippines.
Why Cobalt AI
- Advance frontier AI where it counts. Apply your expertise to the data frontier labs cannot get any other way, where your reasoning directly shapes how the next generation of models solves technical problems.
- Grow professionally. Expand your influence through evaluation projects, advisory roles and research collaborations, while deepening your understanding of how frontier models are trained and assessed.
- Work with a top-tier network. Collaborate with researchers and engineers from leading institutions and labs on high-impact, flexible work.
- Set your own schedule. Flexible 10 to 40 hour weeks that fit around your current role and your life.
- Competitive pay. Paid per accepted task, with higher rates for consistently strong work.
Job Type: Part-time
Work Location: Remote
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