Remote Revenue & AR Operations QA Specialist

AI Trainer Jobs; United States; Remote; USD 55,000 - 83,000; Full time

Job summary

AI Trainer Jobs is seeking a remote contractor to review AI-generated outputs for Revenue Accounts Receivable Manager operations. You will assess alignment with workflows, policies, and escalation logic, grading tone and stakeholder fit on a structured rubric.

Responsibilities include flagging risks, documenting gaps, and defining the next steps to train the modeling team. Strong attention to detail and clear written reasoning are essential, with at least 10 hours per week available.

Qualifications

• Direct working experience in revenue accounts receivable manager specialist operations on real teams for Revenue & Accounts Receivable 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 revenue accounts receivable manager specialist operations workflows, playbooks, and firm policy for Revenue & Accounts Receivable 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.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Revenue Accounts Receivable Manager

Tools

AI-assisted tooling

Job description

AI Trainer Jobs is seeking a remote contractor to review AI-generated outputs for Revenue Accounts Receivable Manager operations. You will assess alignment with workflows, policies, and escalation logic, grading tone and stakeholder fit on a structured rubric.

Responsibilities include flagging risks, documenting gaps, and defining the next steps to train the modeling team. Strong attention to detail and clear written reasoning are essential, with at least 10 hours per week available.