Science Curriculum AI Evaluator

AI Trainer Jobs; United States; Remote; USD 83,000 - 124,000; Part time

Job summary

AuraOne is seeking a remote Science Curriculum AI Evaluator to review AI outputs across science curriculum operations workflows. You will assess workflow correctness, policy adherence, and stakeholder fit, flag risks, and document next steps for the modeling team to train on.

As a contractor, you will work asynchronously with a flexible schedule, averaging at least 10 hours per week. The role emphasizes disciplined rubric application and clear justification for each judgment.

Qualifications

• Experience reviewing AI outputs against defined playbooks and policies.
• Ability to apply multi-page rubrics consistently.
• Clear written reasoning naming the policy or workflow applied.
• Detail-oriented with async availability for 10+ hours/week.

Responsibilities

• Review AI outputs against science curriculum workflows and firm policy.
• Grade tone, escalation logic, and stakeholder fit on rubric.
• Flag operational risk and policy-adherence gaps with severity tags.
• Capture next steps for model training.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Tools

AI tooling

Job description

Science Curriculum AI Evaluator is a remote review track for evaluating AI outputs across science curriculum 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

Science Curriculum AI Evaluator is a remote review track for evaluating AI outputs across science curriculum ai specialist operations workflows.

About the role

Science Curriculum AI Evaluator is a remote review track for evaluating AI outputs across science curriculum 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.
Science Curriculum 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 science curriculum ai specialist operations workflows, playbooks, and firm policy for Science Curriculum 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 science curriculum ai specialist operations on real teams for Science Curriculum 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.

Example tasks

• Grade a model's response to a real science curriculum 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
• Science Curriculum AI specialist operations
• Learning design
• Assessment review
• Pedagogy
• Science
• Curriculum

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

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
- 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.