Remote AI Adversarial Red Team Engineer

AuraOne; United States; On-site; USD 82,656 - 130,872; Full time

Benefits offered by this job

Remote work (US-eligible)

Contractor terms

Job summary

AuraOne is seeking a Threat Intelligence Abuse Scenario Red Teamer for a remote contractor role in the United States. You will design adversarial prompts, document failures with reproduction steps, and assess defenses across dialogue turns.

This role requires clear, policy-focused reporting and potential cross-team collaboration to patch vulnerabilities. Qualified candidates will demonstrate red-teaming experience for AI systems, strong writing, and the ability to operate in policy-grey areas

Qualifications

• Demonstrated experience red-teaming AI systems, security research, or adversarial ML 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.

Responsibilities

• Design adversarial prompts to probe weakness classes (jailbreak, policy bypass, prompt injection) for 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

Threat modeling

Threat intelligence

Job description

AuraOne is seeking a Threat Intelligence Abuse Scenario Red Teamer for a remote contractor role in the United States. You will design adversarial prompts, document failures with reproduction steps, and assess defenses across dialogue turns.

This role requires clear, policy-focused reporting and potential cross-team collaboration to patch vulnerabilities. Qualified candidates will demonstrate red-teaming experience for AI systems, strong writing, and the ability to operate in policy-grey areas