Remote AI QA Specialist — Customer Operations

AI Trainer Jobs; United States; Remote; USD 110,000 - 220,000; Full time

Benefits offered by this job

Remote work

Job summary

AI Trainer Jobs seeks dedicated reviewers to evaluate AI outputs within customer operations workflows on a remote, contractor basis. You will assess tone, escalation, and policy alignment across batches, ensuring actionable next steps for model training.

Ideal candidates have real customer operations experience, can apply rubrics consistently, and provide clear policy-driven reasoning. Availability of 10+ hours weekly is expected.

Qualifications

• Direct working experience in customer operations on real teams for Customer Support / Success Professionals 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 Support / Success Professionals 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 playbook calls between reviewers using firm guidance.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Customer operations

Job description

AI Trainer Jobs seeks dedicated reviewers to evaluate AI outputs within customer operations workflows on a remote, contractor basis. You will assess tone, escalation, and policy alignment across batches, ensuring actionable next steps for model training.

Ideal candidates have real customer operations experience, can apply rubrics consistently, and provide clear policy-driven reasoning. Availability of 10+ hours weekly is expected.