Assessment Rubric AI Evaluator

AI Trainer Jobs

United States

Remote

USD 83,000 - 124,000

Part time

2 days ago
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Job summary

AuraOne is seeking an Assessm ent Rubric AI Evaluator to remotely review AI outputs against established rubrics and policy. You will grade tone, escalation logic, and stakeholder fit while flagging risks and documenting next steps for model training.

Join a contractor track with flexible hours and remote work. Experience calibrating AI evaluation processes and writing clear rationales is valued for this role.

Qualifications

  • Experience reviewing AI outputs against set work instructions.
  • Ability to apply policies consistently across tasks.
  • Strong attention to detail in evaluating rubrics.

Responsibilities

  • Review AI outputs against current assessment rubric AI operations workflows, playbooks, and firm policy for Assessment Rubric 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.

Skills

Operational review
Policy adherence
Workflow judgment
Stakeholder communication
Assessment Rubric AI

Tools

AI tooling

Job description

Assessment Rubric AI Evaluator is a remote review track for evaluating AI outputs across assessment rubric ai specialist operations 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: $60–$90 / hr · Location: Remote — US-eligible · Contractor

Assessment Rubric AI Evaluator is a remote review track for evaluating AI outputs across assessment rubric ai specialist operations workflows.

About the role

Assessment Rubric AI Evaluator is a remote review track for evaluating AI outputs across assessment rubric ai specialist operations 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.

Assessment Rubric AI specialist operations 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 assessment rubric ai specialist operations workflows, playbooks, and firm policy for Assessment Rubric 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.
Role details

Track Operations & business review Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring
  • Direct working experience in assessment rubric ai specialist operations on real teams for Assessment Rubric AI Evaluator 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.
Role signals
Example tasks
  • Grade a model's response to a real assessment rubric ai specialist operations 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

Hourly rate confirmed after the interview process.

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
  • Assessment Rubric AI specialist operations
  • Learning design
  • Assessment review
  • Pedagogy
  • Assessment
  • Rubric
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