Enterprise AI Agent Users

AI Trainer Jobs; United States; Remote; USD 25,000 - 33,000; Full time

Job summary

Enterprise AI Agent Users is a remote review track for evaluating AI outputs across enterprise ai agent users specialist 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.

The role requires direct working experience on real teams, strong written reasoning, and attention to detail.

Qualifications

• Direct working experience in enterprise AI agent users specialist operations on real teams.
• 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 enterprise AI agent users specialist operations workflows, playbooks, and firm policy for Enterprise AI Agent Users 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

Direct working experience in EA A U"s

Written reasoning

Attention to detail

Async availability

Bilingual experience

Policy and workflow comprehension

Tools

AI-assisted workflow tools

Job description

Enterprise AI Agent Users is a remote review track for evaluating AI outputs across enterprise ai agent users specialist 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: $30 / hr · Location: Remote - US-eligible · Contractor

Enterprise AI Agent Users is a remote review track for evaluating AI outputs across enterprise ai agent users specialist operations workflows.

Role details

About the role

Enterprise AI Agent Users is a remote review track for evaluating AI outputs across enterprise ai agent users specialist 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.
Enterprise AI Agent Users specialist 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 enterprise ai agent users specialist operations workflows, playbooks, and firm policy for Enterprise AI Agent Users 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.

What you should bring

• Direct working experience in enterprise ai agent users specialist operations on real teams for Enterprise AI Agent Users 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 enterprise ai agent users specialist 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

$30 / hr
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
• Enterprise AI Agent Users specialist operations