Peruvian Spanish expert

AI Trainer Jobs; United States; Remote; USD 9,100 - 13,000; Full time

Job summary

AuraOne is seeking a Peruvian Spanish expert for a remote evaluation track to review Spanish prompts and responses against our quality rubric. Reviewers compare paired outputs, label edge cases, and write the kind of structured feedback the modeling team can use to retrain.

Responsibilities include evaluating model outputs against rubric, selecting the stronger answer with a written rationale, tagging unsafe content, and calibrating reviewer scores weekly.

Qualifications

• Experience evaluating Spanish generalist prompts or similar content.
• Ability to apply rubrics consistently across large batches.
• Clear written reasoning naming issues and rubric clauses.
• Strong attention to detail and reliability for async work.

Responsibilities

• Evaluate Spanish generalist model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger answer with rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them for rubric updates.
• Maintain reviewer-quality scores by calibration against gold examples weekly.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Spanish generalist evaluation

Job description

Peruvian Spanish expert is a remote evaluation track for reviewing spanish 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: $8 / hr · Location: Remote — US-eligible · Contractor

Peruvian Spanish expert is a remote evaluation track for reviewing spanish generalist evaluation prompts and responses against AuraOne's quality rubric.

Role details

About the role

Peruvian Spanish expert is a remote evaluation track for reviewing spanish 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 spanish 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 spanish generalist evaluation model outputs against a versioned rubric and assign severity tags for Peruvian Spanish 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 spanish generalist evaluation or adjacent content for Peruvian Spanish 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 spanish 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

$8 / hr
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
• Spanish generalist evaluation