Music Audio Expert - Punjabi

AI Trainer Jobs; United States; Remote; USD 15,000 - 26,000; Full time

Job summary

AuraOne is seeking a Music Audio Expert - Punjabi for a remote evaluation track to review audio annotation prompts and responses against our quality rubric. You will compare paired outputs, label edge cases, and provide structured feedback to retrain models.

You will judge voice agents and speech quality, identify pronunciation issues, and flag unsafe or misaligned outputs. This contractor role requires strong attention to detail and reliable async availability for at least 10 hours per week.

Qualifications

• Experience with audio annotation, linguistics, or content moderation.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning naming the issue and rubric clause.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate audio annotation outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger answer with written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route to program team for rubric updates.
• Maintain reviewer-quality scores by calibrating against gold-standard examples.

Skills

Audio evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Audio annotation

Job description

Music Audio Expert - Punjabi is a remote evaluation track for reviewing audio annotation 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: $11–$19 / hr · Location: Remote — US-eligible · Contractor

Music Audio Expert - Punjabi is a remote evaluation track for reviewing audio annotation prompts and responses against AuraOne's quality rubric.

Role details

About the role

Music Audio Expert - Punjabi is a remote evaluation track for reviewing audio annotation 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 audio annotation 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 audio annotation model outputs against a versioned rubric and assign severity tags for Music Audio Expert - Punjabi 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 audio annotation or adjacent content for Music Audio Expert - Punjabi 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 audio annotation 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

$11–$19 / 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
• Audio annotation