Remote Data QA & AI Output Reviewer (Contractor)

AuraOne, Inc.

United States

A distancia

USD 69.000 - 83.000

A tiempo parcial

14 días+

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Descripción de la vacante

AuraOne, Inc. is seeking a remote Data Analysts & Spreadsheet Specialists reviewer to evaluate AI outputs and ensure alignment with workflows and policy. You own a MacBook and work as an independent contractor on a flexible schedule.

Responsibilities include grading tone and escalation logic, flagging policy-adherence gaps, and documenting actionable next steps to train the modeling team. Strong attention to detail is essential.

Formación

  • Direct working experience in data analysts spreadsheet specialists 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.
  • 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.

Responsabilidades

  • Review AI outputs against current data analysts workflows, playbooks, and firm policy for Data Analysts & Spreadsheet Specialists (Must own MacBook) 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 playbook calls using firm guidance.
  • Maintain reviewer-quality scores in inter-rater calibration cycles.

Conocimientos

Operational review
Policy adherence
Workflow judgment
Stakeholder communication
Data operations

Descripción del empleo

AuraOne, Inc. is seeking a remote Data Analysts & Spreadsheet Specialists reviewer to evaluate AI outputs and ensure alignment with workflows and policy. You own a MacBook and work as an independent contractor on a flexible schedule.

Responsibilities include grading tone and escalation logic, flagging policy-adherence gaps, and documenting actionable next steps to train the modeling team. Strong attention to detail is essential.

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