Bilingual Thai STEM Expert (PhD) — AI Safety

AI Trainer Jobs; United States; Remote; USD 33,000 - 39,000; Full time

Job summary

AI Trainer Jobs is seeking a Bilingual Thai STEM Expert (PhD) for a remote AI safety red-team role. Reviewers craft attack scenarios, document failures, and map breaches to rubric clauses to guide patching.

This contractor position emphasizes adversarial evaluation, policy taxonomy, and rigorous failure analyses. Multilingual capability and strong technical writing are essential to help harden AI models before deployment.

Qualifications

• Experience red-teaming AI systems, security research, or adversarial ML work.
• Strong written communication — reports become patch tickets.
• Multilingual fluency for cross-language attack testing.

Responsibilities

• Design adversarial prompts to probe known weakness classes for AI Safety assignments.
• Document every successful attack with reproduction steps and policy clause 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.

Skills

Adversarial prompting

Red-team analysis

Policy taxonomy

Failure documentation

Thai generalist evaluation

Education

PhD

Job description

Category: AI Safety & Red Teaming · Pay: $24–$28 / hr · Location: Remote — US-eligible · Contractor

Bilingual Thai 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.

Role details

About the role

Bilingual Thai 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 Thai 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 $24–$28 / hr Eligible from US

What you should bring

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

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

$24–$28 / 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
• Thai generalist evaluation