Remote Malayalam Audio Evaluation Specialist

AuraOne; United States; Remote; USD 34,000 - 62,000; Part time

Job summary

AI Trainer Jobs is seeking a Malayalam Audio transcription Expert to work remotely as a contractor. You will review audio annotation prompts and responses against a quality rubric, label edge cases, and provide structured feedback for model retraining. The role involves judging voice agents and ensuring pronunciation and conversation quality.

The position is remote with an hourly compensation model. Candidates should have prior experience in audio annotation or related fields and be available at

Qualifications

• Prior evaluation, annotation, or human-rater experience on audio annotation or adjacent content for Malayalam 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.

Responsibilities

• Evaluate audio annotation model outputs against a versioned rubric and assign severity tags for Malayalam 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.

Skills

Audio annotation

Rubric application

Attention to detail

Written reasoning

Async availability

Job description

AI Trainer Jobs is seeking a Malayalam Audio transcription Expert to work remotely as a contractor. You will review audio annotation prompts and responses against a quality rubric, label edge cases, and provide structured feedback for model retraining. The role involves judging voice agents and ensuring pronunciation and conversation quality.

The position is remote with an hourly compensation model. Candidates should have prior experience in audio annotation or related fields and be available at