Cyber Security Analyst

AI Trainer Jobs; United States; Remote; USD 96,000 - 138,000; Part time

Job summary

AuraOne is seeking a Cyber Security Analyst to join a remote red-team track focused on stress-testing AI systems against adversarial prompts. Reviewers craft attack scenarios, document failure modes, and pair each successful jailbreak with the rubric clause it violated so the safety team can patch the gap.

You will probe AI systems for prompt injection and insecure code, design adversarial prompts, and maintain a library of attack patterns.

Qualifications

• Experience red-teaming AI systems, security research, or adversarial ML work.
• Strong written communication; reports become patch tickets.
• Familiarity with prompt-injection, jailbreak, and policy-bypass taxonomy.
• Comfort working in policy-grey areas with clear documentation of what was attempted and why.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Design adversarial prompts that probe known weakness classes (jailbreak, policy bypass, prompt injection) for Cyber Security Analyst 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.

Skills

Adversarial testing

Security research

Policy language

Technical writing

Async availability

Job description

Cyber Security Analyst is a remote red-team track for stress-testing AI systems against adversarial prompts. Reviewers craft attack scenarios, document the failure mode, and pair each successful jailbreak with the rubric clause it violated so the safety team can patch the gap.

Category: Cybersecurity & Adversarial Testing · Pay: $70–$100 / hr · Location: Remote — US-eligible · Contractor

Cyber Security Analyst is a remote red-team track for stress-testing AI systems against adversarial prompts.

About the role

Cyber Security Analyst is a remote red-team track for stress-testing AI systems against adversarial prompts. Reviewers craft attack scenarios, document the failure mode, and pair each successful jailbreak with the rubric clause it violated so the safety team can patch the gap.
Adversarial evaluation is how AuraOne hardens AI models before they ship to customers. Reviewers think like attackers and write up failures with enough rigor that the modeling team can reproduce, fix, and regress-test them.
Probe AI systems for prompt injection and insecure code. Find the misuse paths.

Responsibilities

• Design adversarial prompts that probe known weakness classes (jailbreak, policy bypass, prompt injection) for Cyber Security Analyst 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.

What you should bring

• Demonstrated experience red-teaming AI systems, security research, or adversarial ML work for Cyber Security Analyst 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.

Example tasks

• 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.

Useful experience

• Background in offensive security, AppSec, or trust & safety operations.
• Experience publishing or reproducing public adversarial-ML research.
• Multilingual fluency for cross-language attack testing.

Compensation and schedule

Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Adversarial prompting
• Red-team analysis
• Policy taxonomy
• Failure documentation
• Cyber Security Analyst evaluation