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AI Trainer Jobs is hiring: Odia Audio Recording Expert in New York

AI Trainer Jobs · New York, NY, USA · Remote ·

Job type:
Contract

Odia Audio Recording 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.

Category: Voice, Audio & Speech AI · Pay: $50 / hr · Location: Remote - US-eligible · Contractor

Odia Audio Recording Expert is a remote evaluation track for reviewing audio annotation prompts and responses against AuraOne's quality rubric.

Role details
About the role
Odia Audio Recording 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.
AI data reviewers help turn audio annotation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Judge voice agents and speech recognition. Pronunciation and conversation quality included.

Responsibilities

Evaluate audio annotation model outputs against a versioned rubric and assign severity tags for Odia Audio Recording 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 Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

Prior evaluation, annotation, or human-rater experience on audio annotation or adjacent content for Odia Audio Recording 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.

Useful experience

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.

Compensation and schedule
Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Audio annotation

Application boundary
Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake
The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

01 Confirm profile and eligibility details.

02 Attach this role deliberately.

03 Receive a human review decision or follow-up.

Placement timing depends on program demand and reviewer confirmation.

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