Remote AI Safety Cybersecurity Red Team Engineer

AI Trainer Jobs; United States; Remote; USD 83,000 - 124,000; Full time

Job summary

AuraOne is seeking Cybersecurity SWE — AI Safety for a remote red-team track to stress-test AI systems against adversarial prompts. Reviewers craft attack scenarios, document failure modes, and pair each jailbreak with the violated rubric clause to patch gaps.

Adversarial evaluation helps harden models before shipping. Candidates think like attackers, write rigorous failures for reproducibility, fixing, and regression testing; push on refusal boundaries and dual-use risk before release.

Qualifications

• Experience red-teaming AI systems or adversarial ML.
• Strong written communication; reports become patch tickets.
• Comfort documenting policy-grey areas with clear reasoning.

Responsibilities

• Design adversarial prompts to test known weakness classes.
• Document successful attacks with reproduction steps and violated policy clause.
• Score model defenses across single-turn and multi-turn conversations.
• Triage emerging attack vectors and route to safety team with severity ratings.
• Maintain a library of attack patterns and propose new red-team rubrics.

Skills

Red-teaming

Adversarial ML

Security research

Technical writing

Policy understanding

Multilingual testing

Job description

AuraOne is seeking Cybersecurity SWE — AI Safety for a remote red-team track to stress-test AI systems against adversarial prompts. Reviewers craft attack scenarios, document failure modes, and pair each jailbreak with the violated rubric clause to patch gaps.

Adversarial evaluation helps harden models before shipping. Candidates think like attackers, write rigorous failures for reproducibility, fixing, and regression testing; push on refusal boundaries and dual-use risk before release.