Remote ERM AI Quality Auditor (Contractor)

AuraOne; United States; On-site; USD 55,000 - 90,000; Part time

Job summary

AuraOne seeks an Enterprise Risk Management AI Specialist to remotely review AI outputs within enterprise risk workflows. The contractor grades tone, escalation logic, and stakeholder fit, flags policy gaps, and documents the next steps for model training.

The role emphasizes accuracy, rubric-based judgments, and independent work across multiple batches. Ideal candidates bring direct ERM AI operations experience, precision in applying long form rubrics, and the ability to reason clearly with

Qualifications

• Direct working experience in enterprise risk management ai specialist operations on real teams.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the policy or workflow being applied.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current enterprise risk management ai specialist operations workflows, playbooks, and firm policy for Enterprise Risk Management AI Specialist assignments.
• Grade tone, escalation logic, and stakeholder fit on a structured rubric.
• Flag operational risk, missed escalations, and policy-adherence gaps with severity tags.
• Capture the right next step so the modeling team can train on it.
• Adjudicate disputed treatments against published playbooks or firm guidance.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Enterprise Risk Management AI

AI evaluation

Rubric writing

Expert review

Job description

AuraOne seeks an Enterprise Risk Management AI Specialist to remotely review AI outputs within enterprise risk workflows. The contractor grades tone, escalation logic, and stakeholder fit, flags policy gaps, and documents the next steps for model training.

The role emphasizes accuracy, rubric-based judgments, and independent work across multiple batches. Ideal candidates bring direct ERM AI operations experience, precision in applying long form rubrics, and the ability to reason clearly with