Remote Lesson Plan AI Quality 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

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.