Air Traffic Controller

Air Traffic Controller is a remote review track for evaluating AI outputs across air traffic controller 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. Why this role matters Air Traffic Controller 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. Responsibilities Review AI outputs against current air traffic controller specialist operations workflows, playbooks, and firm policy for Air Traffic Controller 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. Qualifications Direct working experience in air traffic controller specialist operations on real teams for Air Traffic Controller 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. Example tasks Grade a model's response to a real air traffic controller 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. Nice to have 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. Skills Operational review Policy adherence Workflow judgment Stakeholder communication Air Traffic Controller specialist operations AI model evaluation Analytical thinkingLLM experience Data annotation Literacy Presentation developmentAI Work model Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US. Compensation Hourly rate confirmed after the interview process. Direct working experience in air traffic controller specialist operations on real teams for Air Traffic Controller 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. #J-18808-Ljbffr