Spanish Tutors at AuraOne San Jose, CA

AuraOne

San Jose (CA)

Remote

USD 83,000 - 96,000

Full time

8 days ago

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Job summary

Wishalicious is seeking remote reviewers to evaluate Spanish generalist evaluation outputs against AuraOne's rubric. You will compare paired responses, assign severity tags, and write concise rationales to help retrain the model.

The role emphasizes labeling unsafe content, hallucinations, and instruction-following failures with structured tags, while maintaining calibration against gold-standard examples across batches.

Qualifications

  • Experience evaluating model outputs against defined rubrics.
  • Ability to annotate and label prompts and outputs with structured feedback.
  • Familiarity with inter-rater reliability concepts and calibration cycles.

Responsibilities

  • Evaluate Spanish generalist evaluation model outputs against a versioned rubric.
  • Assign severity tags for Spanish Tutors assignments with written rationale.
  • Compare paired responses and select the stronger answer.
  • Label hallucinations and safety issues with structured tags.
  • Capture ambiguous prompts and route to rubric updates; calibrate scores weekly.

Skills

Spanish generalist evaluation
Rubric-based annotation
Inter-rater calibration
Attention to detail
Written reasoning

Job description

About the role

Spanish Tutors 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 Tutors 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 Tutors 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
  • 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

$60–$70 / 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
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.

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