Kannada Audio Recording Expert

AuraOne

United States

Remote

USD 55,000 - 83,000

Full time

10 days ago
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Job summary

AuraOne is seeking a Kannada Audio Recording Expert on a remote contractor basis to evaluate audio annotation model outputs against a rubric and provide structured feedback. You will compare responses, label issues, and help identify edge cases for retraining.

The role emphasizes precise reasoning, attention to detail, and consistent rubric application, with a 10-hour minimum per week commitment and US eligibility for remote work.

Qualifications

  • Prior evaluation, annotation, or human-rater experience on audio annotation or adjacent content for Kannada Audio Recording Expert 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.

Responsibilities

  • Evaluate audio annotation model outputs against a versioned rubric and assign severity tags for Kannada Audio Recording Expert 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.
  • Document recurring failure modes so the modeling team can target them in the next training run.

Skills

Model output evaluation
Rubric-based annotation
Severity tagging
Inter-rater calibration
Audio annotation

Job description

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

Kannada Audio Recording Expert 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.

Why this role matters

AI data reviewers help turn audio annotation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities
  • Evaluate audio annotation model outputs against a versioned rubric and assign severity tags for Kannada Audio Recording Expert 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.
  • Document recurring failure modes so the modeling team can target them in the next training run.
Qualifications
  • Prior evaluation, annotation, or human-rater experience on audio annotation or adjacent content for Kannada Audio Recording Expert 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.
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.
Nice to have
  • 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.
Skills
  • Model output evaluation
  • Rubric-based annotation
  • Severity tagging
  • Inter-rater calibration
  • Audio annotation
Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.

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