E-commerce Data & Catalog Specialist

AuraOne, Inc.

United States

Remote

USD 34,000 - 83,000

Full time

14 days+

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Job summary

AuraOne, Inc. is seeking an E-commerce Data & Catalog Specialist to review AI outputs across e-commerce data operations.

This remote contractor role focuses on evaluating tone, policy adherence, and workflow correctness, flagging operational risk, and documenting the right next step so the modeling team can train on it. You will collaborate with experienced operators, apply structured rubrics to large batches, and ensure clear written reasoning that references the governing policies.

Qualifications

  • Direct working experience in e-commerce data catalog operations.
  • Ability to apply multi-page rubrics consistently.
  • Clear written reasoning referencing policy/workflow.
  • Strong attention to detail and flag prompts faults.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Review AI outputs against e-commerce data catalog workflows and firm policy.
  • Grade tone, escalation logic, and stakeholder fit on a rubric.
  • Flag operational risk and policy-adherence gaps with severity tags.
  • Capture the right next step so the modeling team can train on it.
  • Adjudicate disputed playbooks or guidance.
  • Maintain reviewer-quality scores in inter-rater calibration cycles.

Skills

Operational review
Policy adherence
Workflow judgment
Stakeholder communication
E-commerce data catalog ops

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.

Why this role matters

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.

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.
  • Adjudicate disputed treatments against published playbooks or firm guidance.
  • Maintain reviewer-quality scores in inter-rater calibration cycles.
Qualifications
  • 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.
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.
Nice to have
  • 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.
Skills
  • Operational review
  • Policy adherence
  • Workflow judgment
  • Stakeholder communication
  • E commerce Data Catalog specialist operations
Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.

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