Remote Backend Architecture Workflow QA & Policy Reviewer

AuraOne

United States

On-site

USD 55,104 - 82,656

Full time

14 days+
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Job summary

AuraOne is seeking a Backend Architecture Workflow Reviewer as a remote contractor dedicated to evaluating AI outputs across backend architecture workflows. You will assess tone, policy adherence, and stakeholder fit while flagging operational risks and documenting the next steps for model training.

Ideal candidates bring direct experience with backend architecture workflow operations and a strong capability to apply multi-page rubrics consistently.

Qualifications

  • Direct working experience in backend architecture workflow 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.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Review AI outputs against current backend architecture workflow specialist operations workflows, playbooks, and firm policy for Backend Architecture 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.
  • Adjudicate disputed treatments against published playbooks or firm guidance.
  • Maintain reviewer-quality scores in inter-rater calibration cycles.

Skills

Operational review
Policy adherence
Workflow judgment
Stakeholder communication
Backend Architecture Workflow special*
Code review
Software testing
Agent evaluation
Backend
Architecture

Tools

AI-assisted workflow tooling

Job description

AuraOne is seeking a Backend Architecture Workflow Reviewer as a remote contractor dedicated to evaluating AI outputs across backend architecture workflows. You will assess tone, policy adherence, and stakeholder fit while flagging operational risks and documenting the next steps for model training.

Ideal candidates bring direct experience with backend architecture workflow operations and a strong capability to apply multi-page rubrics consistently.

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