Bilingual Turkish STEM Expert (PhD) — AI Safety

AuraOne; United States; On-site; USD 41,000 - 47,000; Full time

Job summary

AuraOne is seeking a Bilingual Turkish STEM Expert (PhD) for a remote AI Safety red-team track. You will design adversarial prompts, document failures with rigor, and pair jailbreaks with rubric violations to help patch safety gaps.

The role emphasizes asynchronous collaboration and high-quality incident reporting. Responsibilities include scoring defenses in both single-turn and multi-turn interactions, triaging new attack vectors, and maintaining a personal library of attack patterns.

Qualifications

• Demonstrated experience red-teaming AI systems, security research, or adversarial ML work.
• Experience working on AI safety evaluations, preferably with Turkish language scope.
• Strong reporting and documentation skills to accompany patches.

Responsibilities

• Design adversarial prompts that probe known weaknesses (jailbreak, policy bypass).
• Document every successful attack with reproduction steps and the violated policy clause.
• Score model defenses across single-turn and multi-turn conversations.
• Triadge emerging attack vectors and route them to the safety team with severity ratings.
• Maintain a library of attack patterns and propose new red-team rubrics.
• Coordinate with the broader red-team cohort to ensure consistent coverage.

Skills

Adversarial prompting

Red-team analysis

Policy taxonomy

Failure documentation

Turkish generalist evaluation

Job description

Bilingual Turkish STEM Expert (PhD) - AI Safety 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.

Why this role matters

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.

Responsibilities

• Design adversarial prompts that probe known weakness classes (jailbreak, policy bypass, prompt injection) for Bilingual Turkish STEM Expert (PhD) - AI Safety 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.

Qualifications

• Demonstrated experience red-teaming AI systems, security research, or adversarial ML work for Bilingual Turkish STEM Expert (PhD) - AI Safety 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.

Nice to have

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

Skills

• Adversarial prompting
• Red-team analysis
• Policy taxonomy
• Failure documentation
• Turkish generalist evaluation

Work model

Remote - US-eligible. Remote - Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

$30 - $34 / hr