Cultural Studies QA Lead - Remote
YO IT Consulting · New York, United States · 3 wk ago
RemoteRemoteQuality AssuranceFull-time
Key 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.
Requirements
- 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.
- 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 is preferred.
- Experience leading or supporting remote teams of researchers, writers, reviewers, educators, curators, annotators, or QAs is strongly preferred.
- Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
- Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation.
- Experience with AI training, data annotation, LLM evaluation, humanities QA, cultural sensitivity review, image/content review, or rubric-based review is a strong plus.