Rubric Ontology Data Specialist

AuraOne, Inc.

United States

À distance

USD 41 000 - 83 000

Plein temps

14 jours+

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Résumé du poste

AuraOne, Inc. is seeking a remote Rubric Ontology Data Specialist to evaluate prompts and responses against our quality rubric. Reviewers label edge cases, assign severity, and generate structured feedback to retrain our models.

Your work ensures auditable labels, robust rationale, and regression cases for AuraOne Human Data across multiple review cycles. The role is contractor-based with flexible hours, focusing on accuracy and clear documentation.

Qualifications

  • Experience evaluating rubric ontology data and related content.
  • Ability to name issues and map to rubric clauses.
  • Clear written reasoning and structured feedback.
  • Strong attention to detail and consistency.
  • Reliable async availability for at least 10 hours per week.

Responsabilités

  • Evaluate rubric ontology data evaluation model outputs against a versioned rubric and assign severity tags.
  • Compare paired responses and write a rationale for the stronger answer.
  • 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.
  • Document recurring failure modes so the modeling team can target them in the next training run.

Connaissances

Model output evaluation
Rubric-based annotation
Severity tagging
Inter-rater calibration
Rubric Ontology Data evaluation
Data quality
Ontology review

Description du poste

Rubric Ontology Data Specialist is a remote evaluation track for reviewing rubric ontology data 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.

Why this role matters

AI data reviewers help turn rubric ontology data evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities
  • Evaluate rubric ontology data evaluation model outputs against a versioned rubric and assign severity tags for Rubric Ontology Data Specialist 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.
  • Document recurring failure modes so the modeling team can target them in the next training run.
Qualifications
  • Prior evaluation, annotation, or human-rater experience on rubric ontology data evaluation or adjacent content for Rubric Ontology Data Specialist 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.
Example tasks
  • Compare two rubric ontology data 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.
Nice to have
  • 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.
Skills
  • Model output evaluation
  • Rubric-based annotation
  • Severity tagging
  • Inter-rater calibration
  • Rubric Ontology Data evaluation
  • Data quality
  • Taxonomy designOntology review
  • Rubric
  • Ontology
Work model

Remote — US-eligible. Remote Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.

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