Remote Marathi Audio Transcription Evaluator

AuraOne; United States; On-site; USD 27,552 - 55,104; Full time

Benefits offered by this job

Remote work

Contractor Terms

Job summary

AuraOne is seeking a Marathi Audio transcription Expert for a remote contractor role to review and annotate audio prompts and responses using a detailed quality rubric. You will compare outputs, tag edge cases, and provide structured feedback to support model retraining and quality improvements.

Responsibilities include evaluating model outputs, labeling issues, and calibrating against gold-standard examples.

Qualifications

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

Responsibilities

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

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Audio annotation

Job description

AuraOne is seeking a Marathi Audio transcription Expert for a remote contractor role to review and annotate audio prompts and responses using a detailed quality rubric. You will compare outputs, tag edge cases, and provide structured feedback to support model retraining and quality improvements.

Responsibilities include evaluating model outputs, labeling issues, and calibrating against gold-standard examples.