Audiobook QA Expert — English (US)

AI Trainer Jobs; United States; Remote; USD 28,000 - 34,000; Part time

Job summary

Audiobook QA Expert — English (US) 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 structured feedback to help retrain the modeling team.

As a contractor, you will evaluate model outputs, tag issues with rubric-driven categories, and calibrate scores weekly. Reliable async availability of 10 hours per week is expected, with US-eligibility for remote work.

Qualifications

• Prior evaluation, annotation, or human-rater experience on audio annotation or adjacent content for Audiobook QA Expert — English (US) work.
• Clear written reasoning that names the issue and the rubric clause being applied.
• Reliable async availability for at least 10 hours per week.
• Background in linguistics, content moderation, or trust & safety review.

Responsibilities

• Evaluate audio annotation model outputs against a versioned rubric and assign severity tags for Audiobook QA Expert — English (US) 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 weekly.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Audio annotation

Job description

Audiobook QA Expert — English (US) 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: Frontier Model Evaluation · Pay: $20–$25 / hr · Location: Remote — US-eligible · Contractor

Audiobook QA Expert — English (US) is a remote evaluation track for reviewing audio annotation prompts and responses against AuraOne's quality rubric.

About the role

Audiobook QA Expert — English (US) 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.
Review frontier model outputs. Judge benchmark failures and calibrate other evaluators.

Responsibilities

• Evaluate audio annotation model outputs against a versioned rubric and assign severity tags for Audiobook QA Expert — English (US) 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 $20–$25 / hr Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on audio annotation or adjacent content for Audiobook QA Expert — English (US) 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

$20–$25 / hr
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