AI Customer Support Specialist (PT, CT and MT)

AI Trainer Jobs; United States; Remote; USD 97,000 - 138,000; Part time

Job summary

AI Trainer Jobs is seeking an AI Customer Support Specialist (PT, CT and MT) as a remote contractor to evaluate AI outputs across customer operations workflows. Reviewers assess workflow correctness, policy adherence, and stakeholder fit.

You will grade tone, escalation logic, and the right next steps so the modeling team can train on it, while flagging operational risks and gaps with clear severity tags. This role offers hourly compensation and requires at least 10 hours per week of reliable

Qualifications

• Direct experience reviewing AI outputs within customer operations.
• Ability to apply multi-page rubrics consistently.
• Clear written reasoning naming policy or workflow applied.
• Reliable async availability for 10+ hours per week.

Responsibilities

• Review AI outputs against workflows and firm policy.
• Grade tone and stakeholder fit on a structured rubric.
• Flag operational risk and policy-adherence gaps with severity tags.
• Capture the next-step instructions for model training.

Skills

Customer operations experience

Attention to detail

Policy adherence

Written reasoning

Bilingual (cross-region)

Tools

AI tooling

Job description

AI Customer Support Specialist (PT, CT and MT) 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

AI Customer Support Specialist (PT, CT and MT) is a remote review track for evaluating AI outputs across customer operations workflows.

About the role

AI Customer Support Specialist (PT, CT and MT) 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 AI Customer Support Specialist (PT, CT and MT) 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.

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 customer operations on real teams for AI Customer Support Specialist (PT, CT and MT) 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 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

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
• Customer operations
• AI model evaluation