Odia Audio transcription Expert

AuraOne Human Data

Deutschland

Remote

EUR 28.000 - 50.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Remote work
International remote eligibility

Zusammenfassung

AuraOne Human Data is seeking an Odia Audio transcription Expert for a remote contractor role to review and evaluate audio annotation prompts against our quality rubric. This role involves assessing model outputs, labeling edge cases, and providing structured feedback to support model retraining.

As an independent contractor, you will compare paired responses, document issues, and calibrate your review against gold-standard examples weekly.

Qualifikationen

  • Experience in evaluation, annotation, or human-rater work on audio transcription or related content for Odia Audio transcription Expert roles.
  • Ability to apply multi-page rubrics consistently across long batches.
  • Clear written reasoning that names the issue and rubric clause applied.
  • Attention to detail and ability to flag when a prompt is problematic.

Aufgaben

  • Evaluate audio annotation model outputs against a rubric and assign severity tags.
  • Compare paired responses and select the stronger answer with a rationale.
  • Label hallucinations, instruction-following failures, and unsafe content with tags.
  • Capture ambiguous prompts and route to the program team for rubric updates.
  • Calibrate reviewer quality scores against gold-standard examples weekly.
  • Document recurring failure modes for model retraining.

Kenntnisse

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

Jobbeschreibung

Odia Audio transcription 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 Odia Audio transcription 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 Odia Audio transcription 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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