Remote Event Planner AI Evaluator — Contractor

AuraOne; United States; On-site; USD 34,000 - 62,000; Full time

Job summary

AuraOne is seeking an experienced Event Planner operations reviewer to assess AI outputs against real-world event planning workflows and playbooks. This is a remote contractor role US-eligible, with hourly compensation discussed after interview, and applicants must be authorized to work from the US.

You will grade workflow correctness, policy adherence, tone, and stakeholder fit using a structured rubric, flag operational risks, and document the right next steps so the modeling team can train on

Qualifications

• Direct working experience in event planner specialist operations on real teams.
• 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 event planner specialist operations workflows, playbooks, and firm policy for Event Planner 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

Event Planner specialist operations

Job description

AuraOne is seeking an experienced Event Planner operations reviewer to assess AI outputs against real-world event planning workflows and playbooks. This is a remote contractor role US-eligible, with hourly compensation discussed after interview, and applicants must be authorized to work from the US.

You will grade workflow correctness, policy adherence, tone, and stakeholder fit using a structured rubric, flag operational risks, and document the right next steps so the modeling team can train on