Remote AI Adversarial Red-Team Analyst

AuraOne, Inc.

United States

Remote

USD 55,000 - 165,000

Part time

14 days+
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Benefits offered by this job

Remote work

Job summary

AuraOne, Inc. is seeking a Malware Analysis Abuse Scenario Red Teamer to perform remote adversarial testing of AI systems.

Reviewers craft attack scenarios, document failures, and pair each jailbreak with the violated rubric so the safety team can patch gaps. You will design prompts, document reproduction steps, score defenses across turns, triage new attack vectors, and maintain a library of attack patterns.

Qualifications

  • Experience red-teaming AI systems or adversarial ML work.
  • Strong written communication; reports become the patch ticket.
  • Familiarity with prompt-injection, jailbreak, and policy-bypass taxonomies.
  • Available for at least 10 hours per week.

Responsibilities

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

Skills

Adversarial prompting
Red-team analysis
Policy taxonomy
Failure documentation
Security review
Adversarial testing
Threat modeling
Malware analysis

Job description

AuraOne, Inc. is seeking a Malware Analysis Abuse Scenario Red Teamer to perform remote adversarial testing of AI systems.

Reviewers craft attack scenarios, document failures, and pair each jailbreak with the violated rubric so the safety team can patch gaps. You will design prompts, document reproduction steps, score defenses across turns, triage new attack vectors, and maintain a library of attack patterns.

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