Remote AI Audio Evaluation & Feedback Specialist

AuraOne Human Data; United States; Remote; USD 96,000 - 165,000; Full time

Job summary

AuraOne, Inc. is seeking a Music Producer & Audio Post Specialist for AI Evaluation (US Remote) to review audio annotation prompts and responses against AuraOne's quality rubric.

As an independent contractor, you will evaluate model outputs, label edge cases, and provide structured feedback to help retrain the system. You will compare paired responses, assign severity tags, and document recurring issues for the modeling team.

Qualifications

• Prior evaluation, annotation, or human-rater experience on audio annotation or adjacent content.
• Ability to apply 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 audio annotation model outputs against a versioned rubric and assign severity tags for 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.
• Document recurring failure modes so the modeling team can target them in the next training run.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Audio annotation

Job description

AuraOne, Inc. is seeking a Music Producer & Audio Post Specialist for AI Evaluation (US Remote) to review audio annotation prompts and responses against AuraOne's quality rubric.

As an independent contractor, you will evaluate model outputs, label edge cases, and provide structured feedback to help retrain the system. You will compare paired responses, assign severity tags, and document recurring issues for the modeling team.