Kazakh Language Expert

AI Trainer Jobs; United States; Remote; USD 41,000 - 55,000; Full time

Job summary

Kazakh Language Expert role at AuraOne is a remote evaluator tasked with reviewing kazakh language prompts and responses against the quality rubric. Reviewers compare paired outputs, label edge cases, and provide structured feedback for model retraining.

As a contractor, you will assess model outputs, tag issues such as hallucinations or instruction-following failures, and calibrate against gold-standard examples.

Qualifications

• Prior evaluation, annotation, or human-rater experience on Kazakh language evaluation.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning naming the issue and rubric clause.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate Kazakh language evaluation model outputs against a versioned rubric and assign severity tags for Kazakh 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.

Skills

Evaluation experience

Annotation experience

Attention to detail

Async availability

Kazakh language knowledge

Job description

Kazakh Language Expert is a remote evaluation track for reviewing kazakh 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: $30–$40 / hr · Location: Remote — US-eligible · Contractor

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

Role details

About the role

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

Example tasks

• Compare two kazakh 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
• Kazakh Language evaluation