Remote Audio Evaluation Specialist

AuraOne; United States; On-site; USD 13,776 - 41,328; Full time

Job summary

AuraOne is seeking an Audio Recording Expert for a remote contractor role in the United States. The work involves evaluating audio annotation model outputs against a versioned rubric, tagging issues, and providing structured feedback to help retrain models.

Ideal candidates will have experience in audio annotation or related fields, strong written reasoning, and the ability to apply rubrics across large batches. Availability of at least 10 hours weekly is preferred.

Qualifications

• Prior evaluation, annotation, or human-rater experience on audio annotation or adjacent content.
• 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 audio annotation model outputs against a versioned rubric and assign severity tags for Audio Recording Expert 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 evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Audio annotation

Attention to detail

Audio editing

Audio engineering

Audio quality control

Audio recording

Collaboration

Language proficiency

Job description

AuraOne is seeking an Audio Recording Expert for a remote contractor role in the United States. The work involves evaluating audio annotation model outputs against a versioned rubric, tagging issues, and providing structured feedback to help retrain models.

Ideal candidates will have experience in audio annotation or related fields, strong written reasoning, and the ability to apply rubrics across large batches. Availability of at least 10 hours weekly is preferred.