Spoken Instruction Conversation Evaluator

AuraOne; United States; On-site; USD 27,552,000 - 49,593,600; Full time

Job summary

AuraOne is seeking a remote Spoken Instruction Conversation Evaluator to review evaluation prompts and responses against a quality rubric. You will compare paired outputs, label edge cases, and document structured feedback for retraining.

The role emphasizes attention to detail, clear written reasoning, and the ability to work asynchronously for at least 10 hours per week, with compensation discussed after the interview.

Qualifications

• Prior evaluation, annotation, or human-rater experience on spoken instruction 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 spoken instruction conversation evaluation model outputs against a versioned rubric and assign severity tags for Spoken Instruction 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.
• 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

Spoken Instruction Conversation

Speech evaluation

Voice QA

Audio review

Spoken

Instruction

Job description

Spoken Instruction Conversation Evaluator is a remote evaluation track for reviewing spoken instruction 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.

Why this role matters

AI data reviewers help turn spoken instruction conversation evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate spoken instruction conversation evaluation model outputs against a versioned rubric and assign severity tags for Spoken Instruction 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.
• 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.

Qualifications

• Prior evaluation, annotation, or human-rater experience on spoken instruction conversation evaluation or adjacent content for Spoken Instruction 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 spoken instruction 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.

Nice to have

• 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.

Skills

• Model output evaluation
• Rubric-based annotation
• Severity tagging
• Inter-rater calibration
• Spoken Instruction Conversation evaluation
• Speech evaluation
• Voice QA
• Audio review
• Spoken
• Instruction

Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.

Application process

Apply through AuraOne's specialist intake for role-specific routing and review. Final project scope, schedule, and contractor terms are confirmed before placement.