Cultural Studies Quality Assurance Lead (Art History)

You will review AI-generated humanities content and trainer quality assurance work. Your focus will be historical accuracy, interpretive nuance, terminology, consistency, and cultural sensitivity.

You will also give written feedback, identify recurring quality issues, maintain project materials, support contributor onboarding, and help improve review workflows as project guidelines change.

• Review art history, visual culture, cultural studies, and humanities training items.
• Evaluate visual analysis, historical context, cultural comparisons, museum-style descriptions, critical interpretations, and context summaries.
• Assess trainer and quality assurance submissions against project rubrics and quality standards.
• Write precise feedback, escalation notes, guideline updates, FAQs, and quality notes.
• Support onboarding, calibration tasks, trackers, documentation, and workflow improvements.
• Help keep remote contributors aligned as projects evolve.

This is a part-time contractor role open to candidates in the United States. The work requires expert subject knowledge and strong written English communication.

• Pay: $65 per hour.
• Time: 20 or more hours per week.
• Location: Open to candidates in the United States.
• Experience: Expert level.
• Background: Art history, cultural studies, visual culture, museum studies, or a closely related humanities field.
• Skills: Assess visual analysis, historical context, representation, and culturally sensitive claims with care.
• Communication: Strong written English and structured feedback skills.
• Tools: Comfortable with Discord, Google Sheets, and Google Docs.
• Helpful experience: Leading or supporting remote teams of researchers, writers, reviewers, educators, curators, annotators, or quality assurance contributors.
• Helpful knowledge: AI training, large language model evaluation, humanities quality assurance, style guides, onboarding materials, calibration tasks, and documentation workflows.

Apply on OpenTrain with your resume and then complete the application on the hiring site.

AI training is the human work behind systems that generate and understand content. People review model responses, rate quality, and provide clear feedback so AI systems learn to be more accurate, useful, and careful; experienced reviewers are needed for subjects that require specialist judgment. OpenTrain helps people find these projects, build a profile, and apply in minutes.