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micro1

micro1

AI Rubric Writer

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Fully RemoteEngineeringWorldwide

Salary

$1k–$2k

Posted

8h ago

Source

himalayas

AI Writing EvaluationAI Response GraderEssay GraderAI Text ReviewerAI Response Grading

Role Title: AI Rubric Writer

Role Type: Contractor

Location: Remote

We are seeking an experienced AI Rubric Writer to develop high-quality evaluation rubrics and scoring frameworks for AI and Large Language Model (LLM) assessments. The ideal candidate will create clear, objective evaluation criteria to assess AI-generated responses and help improve model performance across a variety of subject areas.

Responsibilities

  1. Design and develop evaluation rubrics and scoring guidelines for AI-generated content.
  2. Create objective, consistent, and well-structured assessment criteria.
  3. Evaluate AI responses for accuracy, reasoning, completeness, and quality.
  4. Provide detailed feedback to improve AI model performance.
  5. Collaborate with cross-functional teams to refine evaluation standards.
  6. Ensure rubrics are clear, unbiased, and easy to apply.

Required Qualifications

  1. Bachelor's degree or higher in a relevant field.
  2. Strong analytical, critical thinking, and written communication skills.
  3. Experience creating evaluation criteria, scoring frameworks, assessment guidelines, or rubrics.
  4. Subject matter expertise in Software Engineering, Finance, Law, Consulting, or other quantitative/STEM disciplines.

Preferred Qualifications

  1. Experience as an AI Evaluator, Prompt Evaluator, or similar AI quality assessment role.
  2. Experience evaluating Large Language Models (LLMs) or Generative AI systems.
  3. Familiarity with rubric development, AI quality assurance, or data annotation.
  4. Experience reviewing and assessing technical or domain-specific content.

Salary in context

This salary range is below the typical band for remote Engineering roles — comparable roles on RemoteTide top out closer to $150k.

Before you apply

  • Confirm async-friendly culture vs daily standup-heavy expectations
  • Ask about on-call rotation and incident expectations
  • Check the tech stack matches what you actually want to use day-to-day

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