Remote AI Operations QA Specialist (Customer Success)

AI Trainer Jobs; United States; Remote; USD 110,000 - 124,000; Full time

Job summary

AI Trainer Jobs is seeking a Customer Success Manager for a remote review track evaluating AI outputs across customer operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; document next steps for modeling team.

Responsibilities include reviewing AI outputs against playbooks, grading tone and escalation logic, flagging policy-adherence gaps, and capturing actionable next steps.

Qualifications

• Direct working experience in customer operations on real teams for Customer Success 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.

Responsibilities

• Review AI outputs against current customer operations workflows, playbooks, and firm policy for Customer Success 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

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Customer operations

Tools

AI-assisted workflow tooling

Job description

AI Trainer Jobs is seeking a Customer Success Manager for a remote review track evaluating AI outputs across customer operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; document next steps for modeling team.

Responsibilities include reviewing AI outputs against playbooks, grading tone and escalation logic, flagging policy-adherence gaps, and capturing actionable next steps.