Use your art expertise to review prompts and evaluate AI training tasks across art history, visual arts, architecture, design, and museums. This 8-week contractor role offers 20+ hours weekly, with the role description specifying a 40-hour schedule.
About OpenTrain
OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping people discover projects, build an AI training profile, and apply in minutes.
Creating an OpenTrain account is free, and this role provides an opportunity to contribute directly to the development of more reliable artificial intelligence.
About AI Training and LLM Evaluation
AI training is the human side of building modern artificial intelligence. People prepare, review, and evaluate examples that help AI systems produce more accurate, useful, and reliable results.
In this role, your art knowledge will support large language model evaluation. You will assess prompts and completed tasks for accuracy, reasoning quality, completeness, and adherence to project standards across diverse art-related topics.
The Art Domain Reviewer Role
OpenTrain AI is recruiting an Art Domain Reviewer to support quality assurance for LLM evaluation projects. You will review domain-specific prompts, evaluate completed annotations, identify weaknesses, and provide actionable feedback that improves the consistency of AI evaluation data.
The work covers art history, visual arts, fine arts, architecture, design, artists, art movements, museums, and related subjects. It requires strong written English, careful research, and the ability to assess artistic, historical, and cultural information in context.
- Contractor position with part-time classification
- 8-week contract duration
- 20+ hours per week listed for the opportunity
- Role description specifies a 40-hour weekly schedule
- At least 4 hours of PST overlap required
- English-language work
- Worldwide opportunity
What You'll Do
You will help maintain high annotation standards by reviewing both the design of evaluation tasks and the quality of completed work. Your feedback should be clear, constructive, accurate, and supported by evidence.
You will follow established review guidelines, document findings, escalate ambiguous or complex cases when needed, and collaborate with project managers and AI teams to improve evaluation quality and review processes.
- Review and validate prompts covering art history, visual arts, fine arts, architecture, design, artists, art movements, museums, and related topics.
- Evaluate completed tasks for factual accuracy, reasoning quality, completeness, and compliance with project guidelines.
- Identify factual inaccuracies, logical inconsistencies, hallucinations, outdated information, and low-quality annotations.
- Check that prompts are challenging, relevant, and aligned with project objectives.
- Provide clear, constructive, and evidence-based feedback to contributors.
- Apply quality standards consistently across reviews.
- Escalate ambiguous or complex cases and document review findings.
- Collaborate with project managers and AI teams on review process improvements.
Requirements and Preferred Background
Applicants must have a master's degree or higher in any field. A degree in Art History, Fine Arts, Visual Arts, Museum Studies, Cultural Studies, Design, Humanities, or another art-related discipline is preferred.
The role calls for 3 or more 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.
- Master's degree or higher
- Deep knowledge of major artists, artworks, art movements, styles, periods, techniques, museums, cultural traditions, and visual arts developments
- Excellent written English
- Strong research, communication, and analytical skills
- Strong attention to detail
- Ability to assess artistic and historical information accurately and within the appropriate context
- Ability to provide evidence-based feedback
Why This Work Matters
Every major AI system depends on people who prepare and review high-quality training data. By applying your expertise to art-focused evaluation, you can help shape how AI handles complex cultural, historical, and visual arts topics.
AI training work is part of a fast-growing technology field and can offer remote, flexible opportunities for people with specialized knowledge. This project provides a direct way to apply your art background to cutting-edge AI development.
How to Apply Through OpenTrain
Create a free OpenTrain account, build your profile around your art expertise and professional background, and apply to the opportunity in minutes. OpenTrain helps contributors start and grow careers in AI training and data labeling.
- Highlight relevant education and art-focused experience.
- Showcase your research, writing, evaluation, or cultural-content background.
- Confirm your availability for the required weekly schedule and PST overlap.
- Apply through OpenTrain for consideration.