E-commerce Data & Catalog Specialist

AI Trainer Jobs; United States; Remote; USD 96,000 - 138,000; Part time

Job summary

AI Trainer Jobs is seeking an experienced remote E-commerce Data & Catalog Specialist to review AI outputs across e-commerce data catalog operations. You will assess workflow correctness, policy adherence, and stakeholder fit while flagging operational risk and documenting the right next steps for model training.

As a contractor, you will work asynchronously, approximately 10 hours per week, with hourly compensation discussed post-interview.

Qualifications

• Direct working experience in e-commerce data catalog operations on real teams.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning that names the policy or workflow 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 e-commerce data catalog operations workflows, playbooks, and firm policy for E-commerce Data & Catalog Specialist 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.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

E-commerce data catalog

Job description

E-commerce Data & Catalog Specialist is a remote review track for evaluating AI outputs across e commerce data catalog 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

E-commerce Data & Catalog Specialist is a remote review track for evaluating AI outputs across e commerce data catalog specialist operations workflows.

About the role

E-commerce Data & Catalog Specialist is a remote review track for evaluating AI outputs across e commerce data catalog 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.
E commerce Data Catalog 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 e commerce data catalog specialist operations workflows, playbooks, and firm policy for E-commerce Data & Catalog Specialist 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.

Role details

Track Operations & business review Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• Direct working experience in e commerce data catalog specialist operations on real teams for E-commerce Data & Catalog Specialist 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.

Role signals

Example tasks

• Grade a model's response to a real e commerce data catalog 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
• E commerce Data Catalog specialist operations

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
- 01 Confirm profile and eligibility details.
- 02 Attach this role deliberately.
- 03 Receive a human review decision or follow-up.
Placement timing depends on program demand and reviewer confirmation.