Airfield AI Operations QA Specialist (Remote Contractor)

AuraOne, Inc.

United States

Remote

USD 91,000 - 129,000

Full time

14 days+

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Benefits offered by this job

Training experience
AI tooling familiarity
Bilingual experience

Job summary

AuraOne, Inc. is seeking a remote contractor to review AI outputs in airfield operations workflows. You will assess alignment with playbooks, policy, and escalation logic, and document next steps for model training.

The role requires direct experience with airfield operations teams, strong rubric-based judgment, and the ability to articulate policy-based reasoning with precision. A flexible, async schedule supporting at least 10 hours weekly is expected.

Qualifications

  • Direct working experience in airfield operations specialists specialist operations on real teams for Airfield Operations Specialists 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 airfield operations specialists specialist operations workflows, playbooks, and firm policy for Airfield Operations Specialists 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
Airfield Operations Specialists
AI model evaluation

Job description

AuraOne, Inc. is seeking a remote contractor to review AI outputs in airfield operations workflows. You will assess alignment with playbooks, policy, and escalation logic, and document next steps for model training.

The role requires direct experience with airfield operations teams, strong rubric-based judgment, and the ability to articulate policy-based reasoning with precision. A flexible, async schedule supporting at least 10 hours weekly is expected.

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