Spanish Language Expert (Mexico)

AI Trainer Jobs; United States; Remote; USD 41,000 - 62,000; Full time

Job summary

AuraOne is seeking a Spanish Language Expert (Mexico) for remote evaluation tasks. You will review Spanish prompts and responses, compare outputs, and provide structured feedback to help retrain models.

This role focuses on precision and rubric-based assessment, supporting continuous improvement of language evaluation standards. As a contractor, you will evaluate model outputs, tag issues, and calibrate scoring with the program team.

Qualifications

• Prior evaluation, annotation, or human-rater experience on Spanish generalist evaluation work.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and the rubric clause being applied.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate Spanish generalist evaluation model outputs against a versioned rubric and assign severity tags for Spanish Language Expert (Mexico) 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

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Spanish generalist evaluation

Job description

Spanish Language Expert (Mexico) 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: Hourly rate confirmed after the interview process · Location: Remote — US-eligible · Contractor

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

About the role

Spanish Language Expert (Mexico) 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 Language Expert (Mexico) 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.

Role details

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 spanish generalist evaluation or adjacent content for Spanish Language Expert (Mexico) 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

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
• Spanish 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.