Remote Historical Research Jobs (NOW HIRING)

Job Summary:
YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies. They are seeking a Cultural Studies Quality Assurance Lead to oversee quality and consistency across AI training projects in art history and cultural studies, ensuring that content is accurate, culturally sensitive, and aligned with client expectations.
Responsibilities:
• Quality monitoring: Spot-check art history/cultural studies items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Humanities review: Evaluate AI-generated art historical explanations, visual analyses, cultural comparisons, museum-style descriptions, critical interpretations, and context summaries for accuracy and nuance.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and art history/cultural studies-specific review standards.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around visual analysis, attribution, periodization, cultural context, interpretive claims, representation, ethics, and rubric interpretation.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation: Create and maintain art history/cultural studies project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and art history/cultural studies-specific review requirements.
• Quality alignment: Ensure all trainers and QAs apply art history/cultural studies review guidelines consistently and understand updates as projects evolve.
• Bias and ethics review: Flag culturally insensitive, Eurocentric, decontextualized, stereotyping, misattributed, or unsupported claims about art, culture, artists, or communities.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for art history/cultural studies AI training projects.
Qualifications:
Required:
• Bachelor’s, Master’s, or PhD degree in Art History, Cultural Studies, Visual Culture, Museum Studies, Humanities, Fine Arts, Comparative Literature, Media Studies, Anthropology, History, or a closely related field.
• Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.
• 3+ years of experience in art historical research, cultural analysis, museum/curatorial work, teaching, academic writing, visual analysis, editing, cultural criticism, or related humanities workflows.
• Strong understanding of art historical methods, visual analysis, iconography, style, periodization, patronage, medium/materials, museum ethics, cultural theory, representation, and historical context.
• Ability to evaluate art history/cultural studies content against detailed rubrics and identify issues such as misattribution, incorrect periodization, weak visual analysis, cultural stereotyping, unsupported interpretation, outdated terminology, or decontextualized claims.
• Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation.
Preferred:
• Familiarity with areas such as ancient art, medieval art, Renaissance art, modern/contemporary art, non-Western art histories, photography, film/media, visual culture, postcolonial theory, gender studies, museum studies, or heritage studies.
• Experience leading or supporting remote teams of researchers, writers, reviewers, educators, curators, annotators, or QAs.
• Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Experience with AI training, data annotation, LLM evaluation, humanities QA, cultural sensitivity review, image/content review, or rubric-based review.
Company:
Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries. Founded in 2018, the company is headquartered in Abu Dhabi, Abu Dhabi Emirate, AE, , with a team of 51-200 employees. The company is currently Growth Stage.