Management Ops AI QA Analyst — Remote

AI Trainer Jobs; United States; Remote; USD 83,000 - 165,000; Full time

Job summary

AI Trainer Jobs is seeking a Management Analyst for a remote review role evaluating AI outputs across operations workflows. You will grade workflow correctness, policy adherence, and stakeholder fit, flag risks, and document next steps for the modeling team to train on.

This contractor position offers pay between $60 and $120 per hour, with program-defined task volume and review pacing; placement depends on current program demand and reviewer confirmation.

Qualifications

• Direct working experience in management analyst specialist operations on real teams.
• Ability to apply 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.

Responsibilities

• Review AI outputs against current management analyst specialist operations workflows, playbooks, and firm policy for Management 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

Management Analyst operations

Business analysis

Data analysis

Market analysis

Business intelligence

Process improvement

Tools

AI-assisted workflow tooling

Job description

AI Trainer Jobs is seeking a Management Analyst for a remote review role evaluating AI outputs across operations workflows. You will grade workflow correctness, policy adherence, and stakeholder fit, flag risks, and document next steps for the modeling team to train on.

This contractor position offers pay between $60 and $120 per hour, with program-defined task volume and review pacing; placement depends on current program demand and reviewer confirmation.