Remote Education AI Review Specialist

AuraOne; United States; À distance; USD 34 000 - 55 000; Temps partiel

Résumé du poste

AI Trainer Jobs is seeking an Education & Tutoring Expert to remotely review AI outputs across education workflows. You will evaluate tone, policy adherence, and stakeholder fit on a structured rubric, flag risks, and document the next steps for the modeling team to train on.

Ideal candidates have direct education review experience on real teams, comfort applying multi-page rubrics to long batches, clear written reasoning citing the applicable policy, and outstanding attention to detail.

Qualifications

• Direct working experience in education review on real teams.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning naming 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.

Responsabilités

• Review AI outputs against current education review workflows, playbooks, and firm policy for Education & Tutoring Expert 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.

Connaissances

Education review experience

Rubric application across documents

Written reasoning citing policy/workfl

Attention to detail

Async availability 10+ hours/week

Description du poste

AI Trainer Jobs is seeking an Education & Tutoring Expert to remotely review AI outputs across education workflows. You will evaluate tone, policy adherence, and stakeholder fit on a structured rubric, flag risks, and document the next steps for the modeling team to train on.

Ideal candidates have direct education review experience on real teams, comfort applying multi-page rubrics to long batches, clear written reasoning citing the applicable policy, and outstanding attention to detail.