Remote Odia Audio QA Evaluator

AI Trainer Jobs; United States; Remote; USD 58,000 - 80,000; Full time

Job summary

AuraOne is seeking an Odia Audio transcription Expert for a remote evaluation track to review audio annotation prompts and responses against AuraOne's quality rubric. Reviewers compare paired outputs, label edge cases, and write structured feedback for retraining the modeling team.

As a contractor, you will judge voice agents and speech recognition quality, annotate according to guidelines, and maintain high consistency across long batches with a clear written rationale.

Qualifications

• Prior evaluation, annotation, or human-rater experience on audio annotation or adjacent content.
• 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 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.Track Evaluation & annotation Work model Remote · Independent specialist contractor

Skills

Model evaluation

Rubric-based annotation

Inter-rater calibration

Audio annotation

Job description

AuraOne is seeking an Odia Audio transcription Expert for a remote evaluation track to review audio annotation prompts and responses against AuraOne's quality rubric. Reviewers compare paired outputs, label edge cases, and write structured feedback for retraining the modeling team.

As a contractor, you will judge voice agents and speech recognition quality, annotate according to guidelines, and maintain high consistency across long batches with a clear written rationale.