Bilingual Danish STEM Expert (PhD) — AI Safety

AuraOne; United States; On-site; USD 84,000 - 90,000; Part time

Job summary

AI Trainer Jobs is seeking a Bilingual Danish STEM Expert (PhD) for remote AI Safety red-team work. You will design adversarial prompts, document failures with reproducible steps, and map each jailbreak to a rubric clause to guide patching efforts.

Responsibilities include scoring defenses across turns, triaging emerging attack vectors, and communicating findings clearly for the safety team. This is a contractor role with US-based hourly compensation.

Qualifications

• Experience red-teaming AI systems or adversarial ML.
• Strong written reporting and patch-ticket creation.
• Fluency in Danish with cross-language testing experience.

Responsibilities

• Design adversarial prompts probing known weakness classes.
• Document each successful attack with reproducible steps.
• Score model defenses across single- and multi-turn conversations.
• Triage new attack vectors and assign severity to safety team.

Skills

Adversarial prompting

Red-team analysis

Policy taxonomy

Failure documentation

Bilingual Danish STEM AI Safety

Education

PhD in STEM

Job description

About the role

Bilingual Danish 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.
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.
Push on refusal boundaries and dual-use risk before a model ships.

Responsibilities

• Design adversarial prompts that probe known weakness classes (jailbreak, policy bypass, prompt injection) for Bilingual Danish 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.
  Track Adversarial evaluation Work model Remote · Independent specialist contractor Compensation $61–$65 / hr Eligible from US

What you should bring

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

Role signals

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.

Useful experience

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

Compensation and schedule

$61–$65 / hr
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Adversarial prompting
• Red-team analysis
• Policy taxonomy
• Failure documentation
• Bilingual Danish STEM AI Safety evaluation

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

• 01 Confirm profile and eligibility details.
• 02 Attach this role deliberately.
• 03 Receive a human review decision or follow-up.
  Placement timing depends on program demand and reviewer confirmation.