Education & Training Expert

AI Trainer Jobs; United States; Remote; USD 41,000 - 117,000; Full time

Job summary

AI Trainer Jobs is seeking an Education & Training Expert for a remote review role. You will evaluate AI outputs across education review workflows, grade tone and policy adherence, and document next steps to guide model training.

The position is remote (US-eligible) as a contractor, with a pay rate of $30–$85 per hour and task-driven workload. Strong rubric-based judgment and attention to detail are essential.

Qualifications

• Direct working experience in education review on real teams for Education & Training Expert work.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the policy or workflow being applied.
• 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 & Training 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.

Skills

Education review

Policy adherence

Workflow judgment

Attention to detail

Job description

Education & Training Expert is a remote review track for evaluating AI outputs across education review 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.

Category: Education & Learning Evaluation · Pay: $30–$85 / hr · Location: Remote — US-eligible · Contractor

Education & Training Expert is a remote review track for evaluating AI outputs across education review workflows.

Role details

About the role

Education & Training Expert is a remote review track for evaluating AI outputs across education review 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.
Education review 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.
Review tutoring and assessment output. Judge it against how real learners use it.

Responsibilities

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

What you should bring

• Direct working experience in education review on real teams for Education & Training Expert 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 education review 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.

Useful experience

• 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.

Compensation and schedule

$30–$85 / hr
Expected arrangement: contractor , with program‑defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Operational review
• Policy adherence
• Workflow judgment
• Stakeholder communication
• Education review

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

• - 01 Confirm profile and eligibility details.
• - 02 Attach this role deliberately.
• - 03 Receive a human review decision or follow-up.
• Placement timing depends on program demand and reviewer confirmation.