Sr. Project Manager-Cyber Security

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

Job summary

Sr. Project Manager-Cyber Security is a remote role focused on adversarial testing of AI systems. Reviewers craft attack scenarios, document failure modes, and pair each jailbreak with the violated rubric clause to help patch gaps.

AuraOne conducts adversarial evaluation to harden models before shipping. You will think like attackers, write rigorous failure reports, reproduce issues for the modeling team, and help prioritize remediation across single- and multi-turn prompts.

Qualifications

• Experience red-teaming AI systems, security research, or adversarial ML work.
• Strong written communication; reports become the patch ticket.
• Comfort in policy-grey areas with clear documentation of what was attempted and why.
• Multilingual fluency for cross-language attack testing.

Responsibilities

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

Skills

Adversarial prompting

Red-team analysis

Policy taxonomy

Failure documentation

Sr. Project Manager Cyber Security

Job description

Sr. Project Manager-Cyber Security 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

Role details

Track Adversarial evaluation

About the role

Sr. Project Manager-Cyber Security 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 Sr. Project Manager-Cyber Security 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.

What you should bring

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

Role signals

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
• Sr. Project Manager Cyber Security evaluation