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# Remote Domain Expert Reviewer - Art

- **Company:** Cornerstone Barricades
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $83,200.0 - $104,000.0
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Large Language Models
- **Published:** August 28, 2026
- **Apply:** https://turing.betterteam.com/remote-domain-expert-reviewer-art-3/apply

## About the Role

* Master's degree or higher in any field; degrees in Art History, Fine Arts, Visual Arts, Museum Studies, Cultural Studies, Design, Humanities, or other art-related disciplines are preferred.
 * Strong knowledge of art, including familiarity with major artists, artworks, art movements, styles, periods, techniques, museums, cultural traditions, and developments in visual arts.
 * 3+ years of relevant professional experience, preferably in art research, academia, museums, galleries, curation, art criticism or journalism, education, publishing, arts and cultural content, or a related field.
 * Excellent written English, research, and analytical skills.
 * Strong attention to detail and ability to assess artistic, historical, and cultural information accurately and within the appropriate context.

## Description

We are seeking a highly qualified Art Domain Reviewer to support the quality assurance of Large Language Model (LLM) evaluation projects. In this role, you will review domain-specific prompts, evaluate completed tasks for accuracy and quality, ensure adherence to project guidelines, and provide actionable feedback to maintain high annotation standards. Your expertise in art will help ensure the reliability, consistency, and quality of AI evaluation data across diverse art-related topics., * Review and validate domain-specific prompts covering art history, visual arts, fine arts, architecture, design, artists, art movements, museums, and related topics.

 * Evaluate completed tasks to ensure factual accuracy, reasoning quality, completeness, and compliance with project guidelines.
 * Identify factual inaccuracies, logical inconsistencies, hallucinations, outdated information, and low-quality annotations.
 * Ensure prompts are challenging, relevant, and aligned with project objectives.
 * Provide clear, constructive, and evidence-based feedback to contributors to improve task quality.
 * Maintain consistency across reviews by following established quality standards and review guidelines.
 * Escalate ambiguous or complex cases when necessary and document review findings.
 * Collaborate with project managers and AI teams to continuously improve evaluation quality and review processes.


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