Remote Education Review & AI Learning Specialist

AuraOne, Inc.; United States; On-site; USD 34,000 - 83,000; Part time

Job summary

AuraOne, Inc. is seeking an Education Practitioner - Learning & Assessment Specialist to remotely evaluate AI outputs across education review workflows. You will review, grade, and document workflow correctness, policy adherence, and stakeholder fit to guide model training.

As a CONTRACTOR working remotely from the US, you will provide careful, detailed written reasoning, flag operational risks, and capture actionable next steps to help the modeling team improve alignment with firm guidelines.

Qualifications

• Direct working experience in education review 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 education review workflows, playbooks, and firm policy for Education Practitioner - Learning & Assessment Specialist 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

Direct experience

Rubric application

Policy/workflow reasoning

Attention to detail

Async availability

Job description

AuraOne, Inc. is seeking an Education Practitioner - Learning & Assessment Specialist to remotely evaluate AI outputs across education review workflows. You will review, grade, and document workflow correctness, policy adherence, and stakeholder fit to guide model training.

As a CONTRACTOR working remotely from the US, you will provide careful, detailed written reasoning, flag operational risks, and capture actionable next steps to help the modeling team improve alignment with firm guidelines.