Korean-Language AI Assistant Reviewer — Conversational Evaluatio

AI Trainer Jobs; United States; Remote; USD 58,000 - 80,000; Full time

Job summary

AuraOne seeks a Korean-Language AI Assistant Reviewer – Conversational Evaluation to work remotely as a contractor. Reviewers compare paired outputs against AuraOne's quality rubric, label edge cases, and provide structured feedback to retrain the model.

Responsibilities include evaluating model outputs, selecting the stronger response with rationale, tagging errors, and flagging ambiguous prompts for rubric updates. Compensation is $50 per hour with US remote eligibility.

Qualifications

• Prior evaluation, annotation, or human-rater experience in Korean evaluation tasks.
• Ability to apply multi-page rubrics consistently across batches.
• Clear written reasoning naming issues and rubric clauses.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate korean generalist evaluation model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger answer with 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

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Korean generalist evaluation

Eligibility

Job description

Korean-Language AI Assistant Reviewer — Conversational Evaluation is a remote evaluation track for reviewing korean generalist 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: Frontier Model Evaluation · Pay: $50 / hr · Location: Remote — US-eligible · Contractor

Korean-Language AI Assistant Reviewer — Conversational Evaluation is a remote evaluation track for reviewing korean generalist evaluation prompts and responses against AuraOne's quality rubric.

About the role

Korean-Language AI Assistant Reviewer — Conversational Evaluation is a remote evaluation track for reviewing korean generalist 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 korean generalist evaluation 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 korean generalist evaluation model outputs against a versioned rubric and assign severity tags for Korean-Language AI Assistant Reviewer — Conversational Evaluation 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 $50 / hr Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on korean generalist evaluation or adjacent content for Korean-Language AI Assistant Reviewer — Conversational Evaluation 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.

Role signals

Example tasks

• Compare two korean generalist 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

$50 / 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
• Korean generalist evaluation
• Eligibility

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.