Infrastructure as Code Workflow Reviewer

AI Trainer Jobs; United States; Remote; USD 99,000 - 135,000; Part time

Job summary

AI Trainer Jobs is seeking an Infrastructure as Code Workflow Reviewer for a remote, contractor position. You will evaluate AI outputs across infrastructure as code workflows, grade workflow correctness, policy adherence, and stakeholder fit, and document the right next steps for the modeling team.

The role requires strong attention to detail, experience with infrastructure as code, and the ability to apply multi-page rubrics consistently.

Qualifications

• Experience reviewing AI outputs against infrastructure as code workflows.
• Ability to apply structured rubrics and document findings clearly.
• Strong attention to detail and risk flagging.
• Ability to work asynchronously for at least 10 hours per week.

Responsibilities

• Review AI outputs against current infrastructure as code workflows and playbooks.
• 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

Infrastructure as Code

Code review

Software testing

AI tooling familiarity

Multiregional operations

Job description

Infrastructure as Code Workflow Reviewer is a remote review track for evaluating AI outputs across infrastructure as code 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

Infrastructure as Code Workflow Reviewer is a remote review track for evaluating AI outputs across infrastructure as code workflow specialist operations workflows.

About the role

Infrastructure as Code Workflow Reviewer is a remote review track for evaluating AI outputs across infrastructure as code 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.
Infrastructure as Code 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 infrastructure as code workflow specialist operations workflows, playbooks, and firm policy for Infrastructure as Code Workflow Reviewer 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.

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 infrastructure as code workflow specialist operations on real teams for Infrastructure as Code Workflow Reviewer 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 infrastructure as code 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
• Infrastructure as Code Workflow specialist operations
• Code review
• Software testing
• Agent evaluation
• Infrastructure
• Code

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

• 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.