Remote VA Eligibility Review Specialist

AuraOne, Inc.

United States

Remote

USD 34,000 - 55,000

Full time

14 days+

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Job summary

AuraOne, Inc. is seeking a remote VA Eligibility Specialist to review AI outputs within our remote operations workflow.

You will ensure alignment with policies, playbooks, and established processes, acting as the final quality gate before escalation. You will grade tone, escalation paths, and stakeholder fit using a structured rubric, flagging gaps, and capturing the recommended next steps for training the model.

Qualifications

  • Direct experience with VA Eligibility Specialist operations on real teams.
  • Ability to apply multi-page rubrics consistently across large batches.
  • Clear written reasoning naming the policy or workflow applied.
  • Strong attention to detail and ability to flag prompts issues.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Review AI outputs against current VA Eligibility Specialist operations workflows, playbooks, and firm policy for VA Eligibility Specialist — Remote AI Review Role 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
VA Eligibility operations

Job description

AuraOne, Inc. is seeking a remote VA Eligibility Specialist to review AI outputs within our remote operations workflow.

You will ensure alignment with policies, playbooks, and established processes, acting as the final quality gate before escalation. You will grade tone, escalation paths, and stakeholder fit using a structured rubric, flagging gaps, and capturing the recommended next steps for training the model.

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