Italian Language Expert

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

Job summary

AI Trainer Jobs is seeking an Italian Language Expert for a remote evaluation track. You will review prompts and responses against AuraOne's rubric, label edge cases, and provide structured feedback to retrain models.

As a contractor, you will compare paired outputs, select the stronger answer with rationale, and tag issues such as hallucinations or instruction-following failures. Reliable weekly availability is expected.

Qualifications

• Proven experience evaluating language data or prompts.
• Ability to apply multi-page rubrics consistently.
• Clear written reasoning that names issues and rubric clauses.
• Reliability for async work and scheduling.

Responsibilities

• Evaluate Italian generalist prompts against a rubric.
• Compare paired responses and select the stronger answer with rationale.
• Tag hallucinations, policy issues, and unsafe content with tags.
• Capture ambiguous prompts and flag for rubric updates.
• Maintain reviewer-quality scores with calibration against gold standards.

Skills

Italian language

Attention to detail

Written reasoning

Rater experience

Rubric application

Job description

Italian Language Expert is a remote evaluation track for reviewing italian 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

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

About the role

Italian Language Expert is a remote evaluation track for reviewing italian 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 italian 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 italian generalist evaluation model outputs against a versioned rubric and assign severity tags for Italian 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 italian generalist evaluation or adjacent content for Italian 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 italian 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
• Italian generalist evaluation