Remote AI Architect — Ops Review & QA

AI Trainer Jobs; United States; Remote; USD 69,000 - 165,000; Full time

Benefits offered by this job

Contractor arrangement

Remote work

Job summary

AuraOne seeks a Technical Architect reviewer to assess AI outputs within technical architect operations workflows. You will judge workflow adherence, policy alignment, and stakeholder fit, helping to flag risks and define the next steps for model training.

The role is remote for the US, contractor-based with task-based pacing, requiring strong attention to detail and experience in operations teams. Flexible scheduling and async collaboration are expected.

Qualifications

• Direct working experience in technical architect specialist operations on real teams for Technical Architect 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 technical architect specialist operations workflows, playbooks, and firm policy for Technical Architect 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

Technical Architect operations

Tools

JAVA

JavaScript

Node.js

PHP

React

Wordpress

Job description

AuraOne seeks a Technical Architect reviewer to assess AI outputs within technical architect operations workflows. You will judge workflow adherence, policy alignment, and stakeholder fit, helping to flag risks and define the next steps for model training.

The role is remote for the US, contractor-based with task-based pacing, requiring strong attention to detail and experience in operations teams. Flexible scheduling and async collaboration are expected.