Tibetan Language Expert

AI Trainer Jobs; United States; Remote; USD 34,000 - 62,000; Full time

Job summary

AuraOne is seeking a Tibetan Language Expert for a remote evaluation track to review tibetan language prompts and responses against our quality rubric. You will compare paired outputs, label edge cases, and provide structured feedback to help retrain models.

As an independent contractor, you will work remotely (US-friendly) with calibration and documentation requirements. Prior experience in linguistics or content moderation is a plus.

Qualifications

• Experience evaluating tibetan language content against rubrics.
• Ability apply rubric clauses consistently across tasks.
• Strong attention to detail and accuracy.

Responsibilities

• Evaluate tibetan language evaluation model outputs against a versioned rubric and assign severity tags for Tibetan 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.
• Calibrate reviewer-quality scores against gold-standard examples weekly.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Tibetan Language evaluation

Job description

Tibetan Language Expert is a remote evaluation track for reviewing tibetan language 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

Tibetan Language Expert is a remote evaluation track for reviewing tibetan language evaluation prompts and responses against AuraOne's quality rubric.

Role details

About the role

Tibetan Language Expert is a remote evaluation track for reviewing tibetan language 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 tibetan language 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 tibetan language evaluation model outputs against a versioned rubric and assign severity tags for Tibetan 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.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 tibetan language evaluation or adjacent content for Tibetan 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 tibetan language 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
• Tibetan Language evaluation