Voice Actress (US or Canada Accent)

AI Trainer Jobs; United States; Remote; USD 55,000 - 83,000; Part time

Job summary

AuraOne is seeking a Voice Actress reviewer for a remote evaluation track focused on reviewing prompts and responses against AuraOne’s quality rubric. You will compare paired outputs, label edge cases, and provide structured feedback for retraining.

The role is a contractor with an hourly rate of $50, US-eligible and remote. Candidates should have strong attention to detail and be able to work asynchronously in a flexible schedule.

Qualifications

• Prior evaluation or annotation experience for voice actress content.
• Ability to apply multi-page rubrics consistently.
• Clear written reasoning naming issues and rubric clauses.
• Strong attention to detail and async availability of 10 hours/week.

Responsibilities

• Evaluate voice actress evaluation model outputs against a versioned rubric and assign severity tags for Voice Actress (US or Canada Accent) 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

Model evaluation

Rubric annotation

Severity tagging

Inter-rater calibration

Voice actress eval

Job description

About the role

Voice Actress (US or Canada Accent) is a remote evaluation track for reviewing voice actress evaluation prompts and responses against AuraOne's quality rubric. Reviewers compare paired outputs, label edge cases, and write the kind of structured feedback the modeling team can use to retrain.

Category: Voice, Audio & Speech AI · Pay: $50 / hr · Location: Remote — US-eligible · Contractor

Voice Actress (US or Canada Accent) is a remote evaluation track for reviewing voice actress evaluation prompts and responses against AuraOne's quality rubric.

About the role

Voice Actress (US or Canada Accent) is a remote evaluation track for reviewing voice actress evaluation prompts and responses against AuraOne's quality rubric. Reviewers compare paired outputs, label edge cases, and write the kind of structured feedback the modeling team can use to retrain.
AI data reviewers help turn voice actress evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Judge voice agents and speech recognition. Pronunciation and conversation quality included.

Responsibilities

• Evaluate voice actress evaluation model outputs against a versioned rubric and assign severity tags for Voice Actress (US or Canada Accent) 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.

Role details

Track Evaluation & annotation Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on voice actress evaluation or adjacent content for Voice Actress (US or Canada Accent) 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.

Role signals

Example tasks

• Compare two voice actress evaluation model responses to the same prompt and pick the stronger one with rationale.
• Tag an unsafe response with the correct policy category and severity.
• Audit a 50-row batch for rubric consistency and report drift to the program lead.
• Propose a rubric clarification after spotting a recurring failure mode.

Useful experience

• Background in linguistics, content moderation, or trust & safety review.
• Experience with inter-rater agreement metrics and calibration cycles.
• Domain expertise that lets you spot subject-matter errors automated checks miss.

Compensation and schedule

Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Model output evaluation
• Rubric-based annotation
• Severity tagging
• Inter-rater calibration
• Voice Actress evaluation