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AuraOne, Inc. is seeking a Policy Preference Preference Data Reviewer to evaluate AI outputs in policy review workflows. You will grade citations, reasoning, and policy adherence, flag risks, and document corrected analyses for model training.
This is a remote, contractor role with requirements to work from the United States. Applicants should have current or recent policy-review credentials, experience drafting and reviewing real matters, and the ability to apply rubrics across large batches
Policy Preference Preference Data Reviewer is a remote review track for evaluating AI outputs in policy review workflows. Reviewers grade citation accuracy, statutory reasoning, and policy adherence; flag risk; and document the corrected analysis so the modeling team can train on it.
Policy review content is judged on precision. AuraOne uses qualified legal and policy reviewers to grade AI outputs the way a senior associate would — with citations, severity tags, and the corrected reasoning alongside the original.
Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.
Hourly rate confirmed after the interview process.