Remote AI Evaluation Specialist, Customer Ops Domain Expert

AuraOne Human Data

United States

Remote

USD 76,000 - 110,000

Full time

14 days+

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Job summary

AuraOne, Inc. is seeking a Customer Support & Success Domain Expert — AI Evaluation to review AI outputs within customer operations workflows and firm policies. You will assess tone, escalation logic, and stakeholder fit using a structured rubric, and flag gaps with severity tags.

Work is remote with US eligibility and requires reliable async availability for at least 10 hours per week. The role focuses on documenting the next steps to train the modeling team and maintain high reviewer quality.

Qualifications

  • Direct working experience in customer operations on real teams for Customer Support & Success Domain Expert — AI Evaluation 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 customer operations workflows, playbooks, and firm policy for Customer Support & Success Domain Expert — AI Evaluation 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
Customer operations

Job description

AuraOne, Inc. is seeking a Customer Support & Success Domain Expert — AI Evaluation to review AI outputs within customer operations workflows and firm policies. You will assess tone, escalation logic, and stakeholder fit using a structured rubric, and flag gaps with severity tags.

Work is remote with US eligibility and requires reliable async availability for at least 10 hours per week. The role focuses on documenting the next steps to train the modeling team and maintain high reviewer quality.

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