Adversarial AI Safety Specialist (Ukrainian, PhD) — Remote

AuraOne; United States; On-site; USD 66,000 - 72,000; Full time

Benefits offered by this job

Remote contract

Job summary

AuraOne seeks a Bilingual Ukrainian STEM Expert (PhD) for AI Safety on a remote contractor track. You will design adversarial prompts, document failures, and map each jailbreak to rubric violations to help patch systems before release.

Ideal candidates have red-team experience on AI systems, strong written reporting, and comfort navigating policy-grey areas, with availability of 10+ hours weekly and fluency in Ukrainian and English.

Qualifications

• Demonstrated experience red-teaming AI systems, security research, or adversarial ML work for Bilingual Ukrainian 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.

Responsibilities

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

Skills

Adversarial prompting

Red-team analysis

Policy taxonomy

Failure documentation

Bilingual Ukrainian STEM AI Safety

Education

PhD in AI Safety or related

Job description

AuraOne seeks a Bilingual Ukrainian STEM Expert (PhD) for AI Safety on a remote contractor track. You will design adversarial prompts, document failures, and map each jailbreak to rubric violations to help patch systems before release.

Ideal candidates have red-team experience on AI systems, strong written reporting, and comfort navigating policy-grey areas, with availability of 10+ hours weekly and fluency in Ukrainian and English.