AI Assistant User: QA & Policy Reviewer (Remote Contractor)

AuraOne, Inc.

United States

Remote

USD 41,000 - 48,000

Full time

14 days+

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Job summary

AuraOne, Inc. is seeking a remote, independent contractor to evaluate AI assistant outputs through a structured weekly feedback study. You will review workflows, ensure policy alignment, and grade escalation logic and stakeholder fit using a formal rubric.

Responsibilities include flagging risks, documenting next steps for model training, and adjudicating disputes with published playbooks. Requires 10+ hours weekly, US eligibility, and strong written reasoning.

Qualifications

  • Direct working experience in ai assistant user weekly feedback study specialist operations on real teams for AI Assistant User - Weekly Feedback Study 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.

Responsibilities

  • Review AI outputs against current ai assistant user weekly feedback study specialist operations workflows, playbooks, and firm policy for AI Assistant User - Weekly Feedback Study 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
AI Assistant User Weekly FeedbackStudy

Job description

AuraOne, Inc. is seeking a remote, independent contractor to evaluate AI assistant outputs through a structured weekly feedback study. You will review workflows, ensure policy alignment, and grade escalation logic and stakeholder fit using a formal rubric.

Responsibilities include flagging risks, documenting next steps for model training, and adjudicating disputes with published playbooks. Requires 10+ hours weekly, US eligibility, and strong written reasoning.

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