Thai Language Expert

AI Trainer Jobs; United States; Remote; USD 34,000 - 69,000; Full time

Job summary

AuraOne is seeking a Thai Language Expert for a remote evaluation track. You will review Thai outputs against a quality rubric, label edge cases, and draft structured feedback for retraining the model.

Responsibilities include comparing paired responses, tagging issues, and calibrating scores weekly. Prior experience in linguistics, moderation, or trust & safety is preferred. This is a contractor role with flexible hours and US-eligibility for remote work.

Qualifications

• Thai language proficiency and linguistic background.
• Experience with evaluation, annotation, or human raters.
• Ability to apply multi-page rubrics consistently.
• Clear written reasoning naming issues and rubric clauses.

Responsibilities

• Evaluate Thai language outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger with a rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Flag prompts for rubric updates and calibration duties.
• Maintain reviewer quality scores and calibrate against gold standards.

Skills

Thai language

Linguistics

Content moderation

Inter-rater calibration

Job description

Thai Language Expert is a remote evaluation track for reviewing thai 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

Thai Language Expert is a remote evaluation track for reviewing thai generalist evaluation prompts and responses against AuraOne's quality rubric.

Role details

About the role

Thai Language Expert is a remote evaluation track for reviewing thai 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 thai 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 thai generalist evaluation model outputs against a versioned rubric and assign severity tags for Thai Language Expert 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.

What you should bring

• Prior evaluation, annotation, or human-rater experience on thai generalist evaluation or adjacent content for Thai Language Expert 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 thai 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
• Thai generalist evaluation