British English Voice Actor: Precision Data Eval (Remote)

AI Trainer Jobs; United States; Remote; USD 51,000 - 73,000; Full time

Benefits offered by this job

Remote work

Contractor role

Job summary

AuraOne seeks a British English Voice Actor for Speech Data and Audio Evaluation. This remote contractor role involves reviewing prompts and responses against a quality rubric, labeling edge cases, and providing structured feedback to help retrain models.

You will compare paired outputs, judge pronunciation and conversation quality, and document findings for the modeling team. Ideal candidates have prior evaluation or annotation experience with British English content, strong attention to

Qualifications

• Prior evaluation, annotation, or human-rater experience for British English Voice Actor data.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and rubric clause.
• Strong attention to detail and ability to flag problems in prompts.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate british english voice actor evaluation model outputs against a versioned rubric and assign severity tags for British English Voice Actor - Speech Data and Audio Evaluation 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.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

British English evaluation

Education

Linguistics background

Job description

AuraOne seeks a British English Voice Actor for Speech Data and Audio Evaluation. This remote contractor role involves reviewing prompts and responses against a quality rubric, labeling edge cases, and providing structured feedback to help retrain models.

You will compare paired outputs, judge pronunciation and conversation quality, and document findings for the modeling team. Ideal candidates have prior evaluation or annotation experience with British English content, strong attention to