Product Manager - AI Task & Prompt Design

AI Trainer Jobs; United States; Remote; USD 76,000 - 152,000; Part time

Job summary

AI Trainer Jobs is seeking a Product Manager for the AI Task & Prompt Design role. This remote contractor position focuses on adversarial evaluation to harden AI models before shipping to customers.

You will design adversarial prompts, document each attack with reproduction steps and the violated policy clause, and score defenses across single-turn and multi-turn conversations. Multilingual testing and cross-functional collaboration valued.

Qualifications

• Experience red-teaming AI systems or adversarial ML work.
• Strong written communication and documentation skills.
• Comfort working in policy-grey areas with clear rationale.

Responsibilities

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

Skills

Adversarial prompting

Red-team analysis

Policy taxonomy

Failure documentation

Adversarial prompt testing

AI product design

Cross-functional teamwork

Data-driven decision making

Iterative product development

Mixpanel

Product management

Job description

Product Manager - AI Task & Prompt Design 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.

Category: AI Safety & Red Teaming · Pay: $55–$110 / hr · Location: Remote — US-eligible · Contractor

Product Manager - AI Task & Prompt Design is a remote red-team track for stress-testing AI systems against adversarial prompts.

Role details

About the role

Product Manager - AI Task & Prompt Design 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 Product Manager - AI Task & Prompt Design 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 Product Manager - AI Task & Prompt Design 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

$55–$110 / 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
• Adversarial prompt testing
• ai prompt design
• assessment rubric development
• cross-functional teamwork
• data-driven decision making
• iterative product development
• mixpanel
• product management

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.