Retail Logistics Manager

AI Trainer Jobs; United States; Remote; USD 110,000 - 127,000; Part time

Job summary

AuraOne seeks a Retail Logistics Manager to remotely review AI outputs across supply chain workflows. You will grade workflow correctness, policy adherence, and stakeholder fit, and document next steps for the modeling team to train on.

As a contractor, you’ll work asynchronously about 10 hours per week with flexible pacing. Experience in real supply chains and ability to apply multi-page rubrics consistently are required, along with clear written reasoning about policies used.

Qualifications

• Direct working experience in supply chain on real teams for Retail Logistics Manager work.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning that names the policy or workflow being applied.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current supply chain workflows, playbooks, and firm policy for Retail Logistics 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

Supply chain experience

Attention to detail

Bilingual experience

Job description

Retail Logistics Manager is a remote review track for evaluating AI outputs across supply chain 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: $80 / hr · Location: Remote — US-eligible · Contractor

Retail Logistics Manager is a remote review track for evaluating AI outputs across supply chain workflows.

About the role

Retail Logistics Manager is a remote review track for evaluating AI outputs across supply chain 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.
Supply chain 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 supply chain workflows, playbooks, and firm policy for Retail Logistics 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 supply chain on real teams for Retail Logistics 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 supply chain 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

$80 / hr
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
• Supply chain