Lesson Plan AI Evaluator

AI Trainer Jobs; United States; Remote; USD 30,000 - 47,000; Full time

Job summary

AI Trainer Jobs is seeking a Lesson Plan AI Evaluator for a remote, contractor role. You will review prompts and responses against AuraOne's quality rubric, label edge cases, and provide structured feedback to help retrain models.

Responsibilities include evaluating model outputs, tagging edge cases, calibrating against rubrics, and reporting discrepancies to the program team. Strong attention to detail and clear written reasoning are essential.

Qualifications

• Prior evaluation, annotation, or human-rater experience on lesson plan AI evaluation or adjacent content for Lesson Plan AI Evaluator work.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and the rubric clause 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

• Evaluate lesson plan AI evaluation model outputs against a versioned rubric and assign severity tags for Lesson Plan AI Evaluator assignments.
• Compare paired responses and pick the stronger answer with a written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them back to the program team for rubric updates.
• Maintain reviewer-quality scores by calibrating against gold-standard examples each week.

Skills

Inter-rater calibration

Linguistics background

Content moderation

Trust & safety review

Evaluation/annotation experience

Job description

Lesson Plan AI Evaluator is a remote evaluation track for reviewing lesson plan ai evaluation prompts and responses against AuraOne's quality rubric. Reviewers compare paired outputs, label edge cases, and write the kind of structured feedback the modeling team can use to retrain.

Category: Frontier Model Evaluation · Pay: Hourly rate confirmed after the interview process · Location: Remote — US-eligible · Contractor

Lesson Plan AI Evaluator is a remote evaluation track for reviewing lesson plan ai evaluation prompts and responses against AuraOne's quality rubric.

About the role

Lesson Plan AI Evaluator is a remote evaluation track for reviewing lesson plan ai evaluation prompts and responses against AuraOne's quality rubric. Reviewers compare paired outputs, label edge cases, and write the kind of structured feedback the modeling team can use to retrain.
AI data reviewers help turn lesson plan ai evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Review frontier model outputs. Judge benchmark failures and calibrate other evaluators.

Responsibilities

• Evaluate lesson plan ai evaluation model outputs against a versioned rubric and assign severity tags for Lesson Plan AI Evaluator assignments.
• Compare paired responses and pick the stronger answer with a written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them back to the program team for rubric updates.
• Maintain reviewer-quality scores by calibrating against gold-standard examples each week.

Role details

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

What you should bring

• Prior evaluation, annotation, or human-rater experience on lesson plan ai evaluation or adjacent content for Lesson Plan AI Evaluator work.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and the rubric clause 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

• Compare two lesson plan ai evaluation model responses to the same prompt and pick the stronger one with rationale.
• Tag an unsafe response with the correct policy category and severity.
• Audit a 50-row batch for rubric consistency and report drift to the program lead.
• Propose a rubric clarification after spotting a recurring failure mode.

Useful experience

• Background in linguistics, content moderation, or trust & safety review.
• Experience with inter-rater agreement metrics and calibration cycles.
• Domain expertise that lets you spot subject-matter errors automated checks miss.

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

• Model output evaluation
• Rubric-based annotation
• Severity tagging
• Inter-rater calibration
• Lesson Plan AI evaluation
• Learning design
• Assessment review
• Pedagogy
• Lesson
• Plan