Hindi Professional Voice Actor

AI Trainer Jobs; United States; Remote; USD 41,000 - 207,000; Part time

Job summary

AuraOne seeks a Hindi Professional Voice Actor for a remote contractor role to review Hindi prompts and responses against a quality rubric. You will judge outputs, label edge cases, and write structured feedback to guide model retraining.

Responsibilities include comparing responses, tagging issues, and ensuring pronunciation and conversation quality. Requires prior evaluation experience, clear reasoning, and at least 10 hours per week availability.

Qualifications

• Prior evaluation, annotation, or human-rater experience on Hindi generalist evaluation or similar content.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and the rubric clause being applied.

Responsibilities

• Evaluate Hindi generalist evaluation model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger answer with a written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them for rubric updates.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Hindi generalist evaluation

Job description

Hindi Professional Voice Actor is a remote evaluation track for reviewing hindi generalist 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: $30–$150 / hr | Location: Remote - US-eligible | Contractor

Hindi Professional Voice Actor is a remote evaluation track for reviewing hindi generalist evaluation prompts and responses against AuraOne's quality rubric.

Role details

About the role

Hindi Professional Voice Actor is a remote evaluation track for reviewing hindi generalist evaluation prompts and responses against AuraOne's quality rubric.
AI data reviewers help turn hindi generalist 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 hindi generalist evaluation model outputs against a versioned rubric and assign severity tags for Hindi Professional Voice Actor 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 hindi generalist evaluation or adjacent content for Hindi Professional Voice Actor 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 hindi generalist 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

$30–$150 / hr
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
• Hindi generalist 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.