Workforce Africa

Domain Expert - Art

Workforce Africa

Creative & Design

Today
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Job summary

We are seeking a highly qualified Art Domain Expert to evaluate and improve Large Language Models (LLMs). You will design challenging prompts, assess factual accuracy and reasoning, and identify knowledge gaps within fine arts, visual arts, architecture, design, art history, museums, and artists. This role exists to support thoughtful business decisions through accurate, dependable work. You will manage day-to-day responsibilities with a strong focus on quality and collaboration. Work is primarily asynchronous, with most tasks completed independently rather than through live meetings. The team is distributed across several countries and time zones.

Min Qualification: Masters Experience Level: Mid level Experience Length: 3 years Language Requirement: English Working Hours: Full Time - 8 to 5 Applicant Location: Remote (Work From Home), Kenya

Job descriptions & requirements

What You'll Do

  • Create advanced prompts covering fine arts, visual arts, architecture, design, art history, museums, and artists.
  • Evaluate AI-generated responses for factual accuracy, reasoning quality, completeness, and nuance.
  • Identify hallucinations, logical inconsistencies, outdated information, and edge cases.
  • Develop benchmark datasets and adversarial test cases.
  • Provide evidence-based feedback with reliable references.
  • Collaborate with AI researchers to improve model performance.
  • Maintain high annotation quality and documentation.
  • Day - to - day tasks
  • Write domain-specific prompts of varying difficulty.
  • Compare multiple AI responses and rank them.
  • Explain why a response is correct or incorrect using authoritative references.
  • Identify ambiguous questions and propose improved prompts.

What We're Looking For

  • Master's degree or higher in a discipline related to Art.
  • 3+ years of professional, research, or teaching experience.
  • Excellent written English and analytical skills.
  • Strong attention to detail.
  • Experience with LLMs, Generative AI, prompt engineering, or AI evaluation.
  • Published research, industry recognition, or teaching experience is a plus.

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