Landscape Manager

AI Trainer Jobs; United States; Remote; USD 110,000 - 131,000; Part time

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

Landscape Manager is a remote review track for evaluating AI outputs across landscape manager 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.

Category: Enterprise Workflow & Tool Use · Pay: $85 / hr · Location: Remote — US-eligible · Contractor

Landscape Manager is a remote review track for evaluating AI outputs across landscape manager specialist operations workflows.

About the role

Landscape Manager is a remote review track for evaluating AI outputs across landscape manager 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.
Landscape Manager 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 whether a task actually gets done.
Judge tool-use tasks and enterprise agent behavior. Operational judgment is the skill.

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.

What you should bring

• Direct working experience in landscape manager specialist operations on real teams for Landscape Manager 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.

Example tasks

• Grade a model's response to a real landscape manager specialist operations ticket and rate workflow, tone, and escalation.
• Flag a missed escalation with the right severity tag and corrected next step.
• Adjudicate a disputed playbook call between two reviewers using firm guidance.
• Audit a 25-row batch for rubric consistency and report drift to the program lead.

Useful experience

• Prior experience training, calibrating, or QA-ing operations teams.
• Familiarity with AI-assisted workflow tooling and its failure modes.
• Bilingual experience for cross-region operations.

Compensation and schedule

Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Operational review
• Policy adherence
• Workflow judgment
• Stakeholder communication
• Landscape Manager specialist operations
• digital collaboration tools
• landscape management