Arabic Language Expert

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

Job summary

AuraOne is seeking an Arabic Language Expert for a remote evaluation track. You will review Arabic language outputs, compare paired responses, and assign severity tags according to a formal rubric. This contractor role supports retraining and auditing of model outputs.

Responsibilities include labeling edge cases, writing structured feedback, and calibrating scores with gold-standard examples on a regular cadence. Remote, US-eligible, contractor arrangement.

Qualifications

• Experience evaluating language models or similar outputs.
• Ability to apply multi-page rubrics consistently.
• Clear written reasoning that names the issue and rubric clause.

Responsibilities

• Evaluate Arabic outputs against a versioned rubric and assign severity tags.
• Compare paired responses and provide rationale for the stronger answer.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Flag ambiguous prompts and request rubric updates as needed.
• Calibrate reviewer scores against gold-standard examples weekly.

Skills

Linguistics background

Careful reviewer

Arabic language proficiency

Annotation and feedback

Inter-rater calibration

Education

Background in linguistics or content moderation

Tools

Rubric-based annotation

Job description

Arabic Language Expert is a remote evaluation track for reviewing arabic 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

Arabic Language Expert is a remote evaluation track for reviewing arabic 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.

Role details

About the role

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

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

• 01 Confirm profile and eligibility details.
• 02 Attach this role deliberately.
• 03 Receive a human review decision or follow-up.

Placement timing depends on program demand and reviewer confirmation.