Remote Telugu Transcription Evaluator

AI Trainer Jobs; United States; Remote; USD 28,000 - 41,000; Full time

Job summary

AuraOne seeks a Telugu Transcription Expert to remotely evaluate prompts and model outputs against its quality rubric. You will review paired responses, label edge cases, and provide structured feedback for retraining the modeling team.

As an AI data reviewer, you will help create auditable labels, rationales, and regression cases for AuraOne Human Data, while calibrating against gold-standard examples on a weekly cadence. Strong writing and attention to detail are essential.

Qualifications

• Prior evaluation, annotation, or human-rater experience on telugu transcription evaluation 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 telugu transcription evaluation model outputs against a versioned rubric and assign severity tags for Telugu 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

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Telugu Transcription evaluation

Job description

AuraOne seeks a Telugu Transcription Expert to remotely evaluate prompts and model outputs against its quality rubric. You will review paired responses, label edge cases, and provide structured feedback for retraining the modeling team.

As an AI data reviewer, you will help create auditable labels, rationales, and regression cases for AuraOne Human Data, while calibrating against gold-standard examples on a weekly cadence. Strong writing and attention to detail are essential.