AI Safety Experts — English & Gujarati

AuraOne; United States; Remote; USD 22.000 - 30.000; Teilzeit

Zusammenfassung

AI Trainer Jobs is seeking a remote contractor to perform adversarial evaluation of AI models, crafting prompts and documenting failures with reproduction steps and policy violations. You will score defenses and triage new attack vectors, contributing rigorous patches for modeling teams.

Requirements include red-teaming experience, strong writing, and the ability to work asynchronously for at least 10 hours weekly. Compensation is per hour with program-defined task volume.

Qualifikationen

• Experience red-teaming AI systems or adversarial ML.
• Strong written communication and clear reporting to patch tickets.
• Familiarity with prompt-injection, jailbreak, and policy-bypass taxonomies.
• Reliable async availability for at least 10 hours per week.

Aufgaben

• Design adversarial prompts that probe known weakness classes for AI Safety Experts — English & Gujarati 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.

Kenntnisse

Red-teaming AI systems

Security research

Adversarial ML

Strong written communication

Documentation of attempts

Prompt-injection

Policy-grey areas

Multilingual testing

Async availability

Jobbeschreibung

About the role

AI Safety Experts — English & Gujarati 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 AI Safety Experts — English & Gujarati 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.

What you should bring

• Demonstrated experience red-teaming AI systems, security research, or adversarial ML work for AI Safety Experts — English & Gujarati 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

$16–$22 / 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
• AI Safety Experts English Gujarati 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.