Text-to-Speech Conversation Evaluator

AI Trainer Jobs; United States; Remote; USD 57,000 - 81,000; Part time

Job summary

AI Trainer Jobs is seeking a Text-to-Speech Conversation Evaluator for a remote contractor position. You will review prompts and responses against AuraOne's rubric, label issues, and provide structured feedback to help retrain models. The role emphasizes careful reasoning, edge-case labeling, and consistent rubric application.

You will evaluate outputs, compare responses, and document findings. This flexible, part-time schedule supports at least 10 hours per week with US eligibility for remote

Qualifications

• Prior evaluation, annotation, or human-rater experience on text to speech conversation 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 text to speech conversation evaluation model outputs against a versioned rubric and assign severity tags.
• 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.

Skills

Evaluation experience

Attention to detail

Written reasoning

Async availability

Rubric-based annotation

Job description

Text-to-Speech Conversation Evaluator is a remote evaluation track for reviewing text to speech conversation evaluation 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

Text-to-Speech Conversation Evaluator is a remote evaluation track for reviewing text to speech conversation evaluation prompts and responses against AuraOne's quality rubric.

About the role

Text-to-Speech Conversation Evaluator is a remote evaluation track for reviewing text to speech conversation evaluation 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 text to speech conversation evaluation 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 text to speech conversation evaluation model outputs against a versioned rubric and assign severity tags for Text-to-Speech Conversation Evaluator 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.

Role details

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 text to speech conversation evaluation or adjacent content for Text-to-Speech Conversation Evaluator 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 text to speech conversation evaluation 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
• Text to Speech Conversation evaluation
• Speech evaluation
• Voice QA
• Audio review
• Text
• Speech

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.