Business Document Expert (Korean Speaker)

AI Trainer Jobs; United States; Remote; USD 34,000 - 55,000; Full time

Job summary

AuraOne is seeking a Business Document Expert (Korean Speaker) to remotely evaluate prompts and responses against our quality rubric. You will compare outputs, label edge cases, and draft structured feedback to retrain the model.

You will review frontier model outputs, judge benchmark failures, and help calibrate other evaluators. This is a contractor role with flexible hours and US eligibility for remote work.

Qualifications

• Experience evaluating Korean generalist prompts and responses.
• Ability to write structured feedback for retraining.
• Familiarity with rubrics and edge-case labeling.

Responsibilities

• Evaluate Korean generalist evaluation model outputs against a rubric.
• Compare paired responses and select the stronger answer with rationale.
• Label hallucinations, instruction-following failures, and unsafe content.
• Capture ambiguous prompts and suggest rubric updates.
• Calibrate reviewer scores against gold-standard examples weekly.

Skills

Korean language

Evaluation/annotation experience

Structured feedback writing

Attention to detail

Async work availability

Job description

Business Document Expert (Korean Speaker) 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: Hourly rate confirmed after the interview process - Location: Remote - US-eligible - Contractor

Business Document Expert (Korean Speaker) is a remote evaluation track for reviewing korean generalist evaluation prompts and responses against AuraOne's quality rubric.

About the role

Business Document Expert (Korean Speaker) 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 Business Document Expert (Korean Speaker) 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.

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 korean generalist evaluation or adjacent content for Business Document Expert (Korean Speaker) 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 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

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
• Korean generalist evaluation