Remote Estimator QA & AI Output Reviewer

AI Trainer Jobs

United States

Remote

USD 99,000 - 135,000

Full time

2 days ago
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Job summary

Estimator is a remote review track for evaluating AI outputs across estimator specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the right next step so the modeling team can train on it.

Estimator specialist operations AI has to fit into an actual day at work. AuraOne uses experienced operators to grade outputs the way a senior peer would — checking workflow, policy, and the unwritten rules that decide

Qualifications

  • Direct working experience in estimator specialist operations on real teams for Estimator work.
  • Familiarity with AI-assisted workflow tooling and its failure modes.
  • Bilingual experience for cross-region operations.

Responsibilities

  • Review AI outputs against current estimator specialist operations workflows, playbooks, and firm policy for Estimator 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.

Skills

Estimator operations experience
Policy adherence
Workflow judgment
Attention to detail
Clear written reasoning
Async availability

Tools

AI-assisted workflow tooling

Job description

Estimator is a remote review track for evaluating AI outputs across estimator specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the right next step so the modeling team can train on it.

Estimator specialist operations AI has to fit into an actual day at work. AuraOne uses experienced operators to grade outputs the way a senior peer would — checking workflow, policy, and the unwritten rules that decide

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