Remote Learning Progression AI Evaluator — Quality & Policy

AuraOne, Inc.; United States; A distancia; USD 41.000 - 69.000; Jornada completa

Descripción de la vacante

AuraOne, Inc. is seeking a Learning Progression AI Evaluator to remotely review outputs within our specialist operations workflows and firm policies. You will grade tone, escalation logic, and stakeholder fit using a structured rubric.

Flexible US-based remote contractor role with at least 10 hours per week. You will help flag policy gaps and capture actionable next steps for the modeling team to train on.

Formación

• Direct working experience in learning progression AI specialist operations on real teams for Learning Progression AI Evaluator work.
• Clear written reasoning that names the policy or workflow being applied.
• Reliable async availability for at least 10 hours per week.

Responsabilidades

• Review AI outputs against current learning progression AI specialist operations workflows, playbooks, and firm policy for Learning Progression AI Evaluator 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.

Conocimientos

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Learning progression AI

Learning design

Assessment review

Pedagogy

Learning

Progression

Descripción del empleo

AuraOne, Inc. is seeking a Learning Progression AI Evaluator to remotely review outputs within our specialist operations workflows and firm policies. You will grade tone, escalation logic, and stakeholder fit using a structured rubric.

Flexible US-based remote contractor role with at least 10 hours per week. You will help flag policy gaps and capture actionable next steps for the modeling team to train on.