Remote AI Landscape Workflow Auditor

AI Trainer Jobs

United States

Remote

USD 110,000 - 131,000

Part time

5 days ago
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Job summary

AI Trainer Jobs is seeking a Landscape Manager reviewer for a remote, contract-based position in the United States. You will evaluate AI outputs across landscape manager workflows, grade policy adherence, and assess stakeholder fit, flag risks, and document actionable next steps for model training.

Ideal candidates bring direct experience in landscape manager operations, the ability to apply multi-page rubrics consistently, and clear written reasoning naming the policy or workflow used.

Qualifications

  • Direct working experience in landscape manager 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.

Responsibilities

  • Review AI outputs against current landscape manager specialist operations workflows, playbooks, and firm policy for Landscape Manager 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

Landscape Manager operations
Policy adherence
Workflow judgment
Written reasoning
Async availability
QA / auditing
Bilingual experience

Tools

AI-assisted tooling
Collaboration tools

Job description

AI Trainer Jobs is seeking a Landscape Manager reviewer for a remote, contract-based position in the United States. You will evaluate AI outputs across landscape manager workflows, grade policy adherence, and assess stakeholder fit, flag risks, and document actionable next steps for model training.

Ideal candidates bring direct experience in landscape manager operations, the ability to apply multi-page rubrics consistently, and clear written reasoning naming the policy or workflow used.

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