Enterprise Risk Management AI Specialist

AI Trainer Jobs; United States; Remote; USD 41,000 - 55,000; Part time

Job summary

AI Trainer Jobs is seeking an Enterprise Risk Management AI Specialist for a remote contractor track. Review AI outputs across ERM workflows, grade policy adherence, and flag risks; document the next steps for model training.

Experience in enterprise risk management AI operations, strong rubric application, and clear written reasoning are essential. The role offers hourly compensation to be confirmed after interview and requires at least 10 hours per week.

Qualifications

• Direct working experience in enterprise risk management AI operations on real teams.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning naming the policy or workflow applied.
• Strong attention to detail and ability to flag when a prompt is the problem.
• 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.
• 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.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Enterprise Risk Management

Tools

AI evaluation tools

Job description

About the role

Enterprise Risk Management AI Specialist is a remote review track for evaluating AI outputs across enterprise risk management ai specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the right next step so the modeling team can train on it.
Enterprise Risk Management AI specialist operations AI has to fit into an actual day at work. AuraOne uses experienced operators to grade outputs the way a senior peer would — checking workflow, policy, and the unwritten rules that decide whether a task actually gets done.
Judge tool-use tasks and enterprise agent behavior. Operational judgment is the skill.

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.

Role details

Track Operations & business review Work model Remote Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• Direct working experience in enterprise risk management ai specialist operations on real teams for Enterprise Risk Management AI Specialist work.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the policy or workflow being applied.
• Strong attention to detail and the ability to flag when a prompt itself is the problem.
• Reliable async availability for at least 10 hours per week.

Role signals

Example tasks

• Grade a model's response to a real enterprise risk management ai specialist operations ticket and rate workflow, tone, and escalation.
• Flag a missed escalation with the right severity tag and corrected next step.
• Adjudicate a disputed playbook call between two reviewers using firm guidance.
• Audit a 25-row batch for rubric consistency and report drift to the program lead.

Useful experience

• Prior experience training, calibrating, or QA-ing operations teams.
• Familiarity with AI-assisted workflow tooling and its failure modes.
• Bilingual experience for cross-region operations.

Compensation and schedule

Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Operational review
• Policy adherence
• Workflow judgment
• Stakeholder communication
• Enterprise Risk Management AI specialist operations
• Enterprise operations
• AI evaluation
• Rubric writing
• Expert review