Remote AI Policy & Workflow Reviewer (Contractor)

AuraOne, Inc.; United States; Remote; USD 96,000 - 131,000; Part time

Job summary

AuraOne, Inc. is seeking a remote reviewer for Expert Professors - Professional Domains to evaluate AI outputs across workflows, policy adherence, and stakeholder fit. As a contractor, you will grade tone, escalation logic, and identify risk on a structured rubric.

You'll work asynchronously for at least 10 hours per week, review batches, and document the next steps for model training. Strong attention to detail and ability to name the policy or workflow applied are essential.

Qualifications

• Direct working experience in professors domains specialist operations on real teams for Expert Professors - Professional Domains work.
• 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.

Responsibilities

• Review AI outputs against current professors domains specialist operations workflows, playbooks, and firm policy for Expert Professors - Professional Domains 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

Professors domains ops

Python

Job description

AuraOne, Inc. is seeking a remote reviewer for Expert Professors - Professional Domains to evaluate AI outputs across workflows, policy adherence, and stakeholder fit. As a contractor, you will grade tone, escalation logic, and identify risk on a structured rubric.

You'll work asynchronously for at least 10 hours per week, review batches, and document the next steps for model training. Strong attention to detail and ability to name the policy or workflow applied are essential.