Spanish Linguistic Expert

AI Trainer Jobs; United States; Remote; USD 55,000 - 83,000; Full time

Job summary

AuraOne is seeking a Spanish Linguistic Expert for remote evaluation work. You will review Spanish generalist evaluation prompts and responses, label edge cases, and provide structured feedback to support retraining of models.

You will compare paired outputs, assign severity tags, and help ensure consistency across long review batches. The role emphasizes clear written reasoning, rubric application, and reliable async availability for at least 10 hours per week.

Qualifications

• Prior evaluation or annotation experience on Spanish generalist evaluation.
• Ability to apply a multi-page rubric consistently.
• Clear written reasoning naming issues and rubric clauses.

Responsibilities

• Evaluate Spanish generalist evaluation model outputs against a rubric.
• Compare paired responses and select the stronger with rationale.
• Label hallucinations and safety issues with structured tags.
• Capture ambiguous prompts and flag for rubric updates.
• Calibrate reviewer scores against gold-standard examples weekly.

Skills

Evaluation experience

Annotation

Linguistics background

Inter-rater calibration

Job description

Spanish Linguistic 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: $50 / hr · Location: Remote — US-eligible · Contractor

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

Role details

About the role

Spanish Linguistic 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 Spanish Linguistic 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 Spanish Linguistic 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

$50 / 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

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.