Enterprise AI Workflow Expert

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

Benefits offered by this job

Remote work

Contractor role

Hourly pay after interview

Job summary

AI Trainer Jobs is seeking an Enterprise AI Workflow Expert for a remote review track that evaluates AI outputs across enterprise workflows. Reviewers assess workflow correctness, policy adherence, and stakeholder fit, flag operational risk, and document the next step for the modeling team to train on it.

The role is a contractor position with an hourly rate; placement depends on program demand and reviewer confirmation, and US eligibility is required for remote work.

Qualifications

• Direct working experience evaluating enterprise AI workflow operations on real teams.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning naming the policy or workflow applied.

Responsibilities

• Review AI outputs against enterprise workflows, playbooks, and firm policy for 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

AI model evaluation

Tools

Rubrics

Job description

Enterprise AI Workflow Expert is a remote review track for evaluating AI outputs across enterprise ai workflow 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: $85 / hr · Location: Remote — US-eligible · Contractor

Enterprise AI Workflow Expert is a remote review track for evaluating AI outputs across enterprise ai workflow specialist operations workflows.

Role details

About the role

Enterprise AI Workflow Expert is a remote review track for evaluating AI outputs across enterprise ai workflow 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 Workflow 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 workflow specialist operations workflows, playbooks, and firm policy for Enterprise AI Workflow Expert 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.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 enterprise ai workflow specialist operations on real teams for Enterprise AI Workflow Expert 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 workflow 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

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
• Enterprise AI Workflow specialist operations
• AI model evaluation

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

• - 01 Confirm profile and eligibility details.
• - 02 Attach this role deliberately.
• - 03 Receive a human review decision or follow-up.

Placement timing depends on program demand and reviewer confirmation.