Cloud Security Abuse Scenario Red Teamer

• Design adversarial prompts that probe known weakness classes (jailbreak, policy bypass, prompt injection) for Cloud Security Abuse Scenario Red Teamer assignments.
• Document every successful attack with reproduction steps and the policy clause it violated.
• Score model defenses across single-turn and multi-turn conversations.
• Triage emerging attack vectors and route them to the safety team with severity ratings.
• Maintain a personal library of attack patterns and propose new red-team rubrics.
• Calibrate against the broader red-team cohort to keep coverage and severity consistent.

• Demonstrated experience red-teaming AI systems, security research, or adversarial ML work for Cloud Security Abuse Scenario Red Teamer work.
• Strong written communication - your reports become the patch ticket.
• Comfort working in policy-grey areas with clear documentation of what was attempted and why.
• Familiarity with prompt-injection, jailbreak, and policy-bypass taxonomies.
• Reliable async availability for at least 10 hours per week., * Background in offensive security, AppSec, or trust & safety operations.
• Experience publishing or reproducing public adversarial-ML research.
• Multilingual fluency for cross-language attack testing., * Adversarial prompting
• Red-team analysis
• Policy taxonomy
• Failure documentation
• Cloud Security Abuse Scenario Red Teamer evaluation
• Security review
• Adversarial testing
• Threat modeling
• Cloud
• Security

Work model

Remote - US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

• Construct a 5-turn adversarial conversation that bypasses a specific policy clause and write up the patch ticket.
• Score a model’s defenses against a known jailbreak pattern across 20 variants.
• Propose a new red-team rubric category after spotting an emerging attack vector.
• Reproduce a failure another reviewer reported and confirm the severity tag., Hourly rate confirmed after the interview process.