Voice Actors

AI Trainer Jobs; United States; Remote; USD 57,000 - 81,000; Full time

Job summary

AuraOne is seeking remote evaluators to review voice actors evaluation prompts and responses against our quality rubric. You will compare outputs, label edge cases, and provide structured feedback for model retraining as part of a remote, contractor-based role.

Role emphasizes rubric-based annotation, issue naming, and inter-rater calibration. The position requires clear written reasoning and reliable async availability for at least 10 hours per week, with pay set per hour and flexible placement

Qualifications

• Experience evaluating voice prompts and responses against rubrics.
• Strong attention to detail and consistency in labeling.
• Ability to write clear, structured feedback.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate voice actors evaluation model outputs against a versioned rubric and assign severity tags for Voice Actors 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

Voice evaluation experience

Attention to detail

Written reasoning skills

Async availability

Job description

Voice Actors is a remote evaluation track for reviewing voice actors 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 Actors is a remote evaluation track for reviewing voice actors evaluation prompts and responses against AuraOne's quality rubric.

Role details

About the role

Voice Actors is a remote evaluation track for reviewing voice actors 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 actors 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 actors evaluation model outputs against a versioned rubric and assign severity tags for Voice Actors 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.

What you should bring

• Prior evaluation, annotation, or human-rater experience on voice actors evaluation or adjacent content for Voice Actors 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 actors 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 Actors evaluation

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
- 01 Confirm profile and eligibility details.
- 02 Attach this role deliberately.
- 03 Receive a human review decision or follow-up.
Placement timing depends on program demand and reviewer confirmation.