Cybersecurity Expert - Threat Analysis

## About the role Cyberattacks cause billions in damages annually — ransomware cripples hospitals, data exfiltration exposes millions. As a Cybersecurity Labeling Expert, you'll be on the front lines of AI safety: reviewing real-world conversations flagged as potentially malicious and determining whether they represent genuine threats. Your judgments directly train the systems that keep AI out of the hands of bad actors. ## What you'll do Analyze flagged AI conversations — ranging from plain text to code-heavy exchanges — and apply your security expertise to assess intent and harm across four domains: - Scaled data exfiltration - Ransomware - Worms / self-replicating code - Local & remote exploits Some conversations may involve POC exploit development; your expertise will determine what crosses the line. ## Why it matters The difference between a security researcher and a threat actor often comes down to context, specificity, and intent — exactly what automated systems struggle to detect. Your ground-truth labels directly improve the classifiers that decide what AI will and won't help with. ## What we're looking for - Hands-on offensive security background: red team, malware analysis, pen testing, or exploit research - Ability to read between the lines — distinguishing legitimate security work from genuine attack intent - Comfort interpreting code-heavy conversations - Tier 2–3 experience: Masters / early-career through Senior / Principal You're a strong fit if you've done red team consulting, threat intelligence analysis, vulnerability research, or AI safety labeling where nuanced judgment under ambiguity is routine. ## Logistics - ~2–3 week engagement, remote - **Minimum commitment: at least 20 hours per week** — this is a firm floor, not a target. Candidates who cannot commit to 20+ hours per week will not be considered. - Requires access to a secure review interface and ability to handle PII - Compensation: $100–$150/hr depending on experience tier