Uyghur Bilingual Expert

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

Job summary

AI Trainer Jobs is seeking Uyghur Bilingual Expert to remotely review prompts and responses against AuraOne's quality rubric. You will compare paired outputs, label edge cases, and provide structured feedback that helps retrain the model.

As an independent contractor, you’ll work asynchronously, roughly 10 hours per week, with hourly compensation discussed after interview. Remote work available for US-eligible candidates; prior evaluation, annotation, or Uyghur bilingual experience is highly

Qualifications

• Experience in linguistics, content moderation, or trust & safety review.
• Proven ability to apply rubrics consistently across long batches.
• Ability to provide clear written reasoning that cites rubric clauses.
• Comfort working asynchronously at least 10 hours per week.
• Familiarity with Uyghur bilingual evaluation workflows.

Responsibilities

• Evaluate Uyghur bilingual outputs against a versioned rubric.
• Tag severity and policy categories for issues.
• Compare paired responses and justify the stronger with rationale.
• Flag ambiguous prompts and report rubric gaps.
• Calibrate against gold-standard examples weekly.

Skills

Linguistics

Content moderation

Trust & Safety

Inter-rater calibration

Uyghur evaluation

Job description

Role details

Uyghur Bilingual Expert is a remote evaluation track for reviewing uyghur bilingual 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

Uyghur Bilingual Expert is a remote evaluation track for reviewing uyghur bilingual evaluation prompts and responses against AuraOne's quality rubric.

About the role

Uyghur Bilingual Expert is a remote evaluation track for reviewing uyghur bilingual 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 uyghur bilingual 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 uyghur bilingual evaluation model outputs against a versioned rubric and assign severity tags for Uyghur Bilingual 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 uyghur bilingual evaluation or adjacent content for Uyghur Bilingual 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.

Example tasks

• Compare two uyghur bilingual 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
• Uyghur Bilingual evaluation