Voice Data Evaluator & Rubric Auditor (Remote)

AuraOne; United States; A distancia; USD 62.000 - 83.000; Jornada completa

Descripción de la vacante

AuraOne is seeking a remote evaluation specialist to review voice actor/coaches prompts and responses against our quality rubric. This contractor role involves comparing paired outputs, labeling edge cases, and producing structured feedback for model retraining.

You will label hallucinations, instruction-following failures and unsafe content, calibrate scores, and document recurring failure modes for the modeling team. Requires prior annotation experience and strong written reasoning.

Formación

• Prior evaluation, annotation, or human-rater experience on voice actor/coaches evaluation 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.

Responsabilidades

• Evaluate voice actor/coaches evaluation model outputs against a versioned rubric and assign severity tags for Voice Actor/Coaches 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.

Conocimientos

Voice data evaluation

Rubric-based annotation

Inter-rater calibration

Attention to detail

Async availability

Descripción del empleo

AuraOne is seeking a remote evaluation specialist to review voice actor/coaches prompts and responses against our quality rubric. This contractor role involves comparing paired outputs, labeling edge cases, and producing structured feedback for model retraining.

You will label hallucinations, instruction-following failures and unsafe content, calibrate scores, and document recurring failure modes for the modeling team. Requires prior annotation experience and strong written reasoning.