Customer Ops Analyst

AI Trainer Jobs; United States; Remote; USD 99,000 - 135,000; Part time

Benefits offered by this job

Remote work

Job summary

AI Trainer Jobs is seeking a Remote Customer Ops Analyst to evaluate AI outputs across customer operations workflows. You will review tone, policy adherence, and escalation logic on a structured rubric and document actionable next steps for the modeling team.

The role requires direct experience in customer operations, strong written reasoning, and reliable ~10 hours/week availability in a flexible contractor setup.

Qualifications

• Direct working experience in customer operations on real teams.
• Comfort applying 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 customer operations workflows, playbooks, and firm policy for Customer Ops Analyst 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

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Customer operations

Tools

AI tooling

Job description

Customer Ops Analyst is a remote review track for evaluating AI outputs across customer 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

Customer Ops Analyst is a remote review track for evaluating AI outputs across customer operations workflows.

About the role

Customer Ops Analyst is a remote review track for evaluating AI outputs across customer 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.
Customer 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 customer operations workflows, playbooks, and firm policy for Customer Ops Analyst 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 customer operations on real teams for Customer Ops Analyst 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 customer 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

$85 / 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
• Customer operations