Cultural Studies QA Lead

Role overview

This is a remote contractor position focused on safeguarding the quality of AI training work across art history, visual culture, cultural studies, and other humanities-oriented projects. In this role, you will review model-generated content and evaluator work, compare outputs against project rubrics, and deliver clear written feedback that helps maintain accuracy, consistency, and alignment with client expectations.

You will be expected to assess historical correctness, quality of visual interpretation, sensitivity to cultural context, terminology, nuance, sourcing awareness, representational issues, clarity, formatting, and compliance with instructions. The work also includes identifying recurring problems, updating trainers and QA contributors, supporting onboarding, keeping documentation current, and helping re-engage contributors who are inactive.

This opportunity sits within a fast-growing AI data services business that supports major AI companies and foundation model teams. Your contribution will help improve humanities training data so that it is historically grounded, visually informed, culturally sensitive, and well explained.

Please note that there is no active project available immediately for this opening. If you are a strong match, you may be contacted first when relevant work becomes available and may also be considered for future assignments through the expert network.

Selection process

The hiring process includes an AI interview, a subject-matter task, and a conversation with a recruiter.

Requirements

• A bachelor’s, master’s, or PhD in Art History, Cultural Studies, Visual Culture, Museum Studies, Humanities, Fine Arts, Comparative Literature, Media Studies, Anthropology, History, or a closely related discipline.
• Excellent English communication skills for interpreting guidelines, coordinating with teams, and giving precise written feedback.
• At least 3 years of experience in art historical research, cultural analysis, museum or curatorial work, teaching, academic writing, visual analysis, editing, cultural criticism, or comparable humanities work.
• Strong command of art historical method, visual reading, iconography, style, periodization, patronage, materials and medium, museum ethics, cultural theory, representation, and historical context.
• Ability to judge art history and cultural studies content against detailed rubrics and identify issues such as incorrect attribution, flawed periodization, weak visual analysis, stereotyping, unsupported interpretation, outdated language, or claims that are not properly contextualized.
• Preferred familiarity with areas such as ancient, medieval, Renaissance, modern, or contemporary art; non-Western art histories; photography; film and media; visual culture; postcolonial theory; gender studies; museum studies; or heritage studies.
• Prior experience leading or supporting remote groups of researchers, writers, reviewers, educators, curators, annotators, or QAs is strongly preferred.
• Comfort using remote collaboration tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Strong organizational habits and attention to detail, with the ability to manage style guides, FAQs, trackers, onboarding assets, calibration work, and documentation.
• Experience in AI training, data annotation, LLM evaluation, humanities QA, cultural sensitivity review, image or content review, or rubric-based evaluation is a strong advantage.

Responsibilities

• Review samples of art history and cultural studies work, identify quality concerns, share feedback through direct messages, and escalate repeated or serious issues.
• Evaluate AI-generated explanations, visual readings, cultural comparisons, museum-style descriptions, critical interpretations, and contextual summaries for correctness and subtlety.
• Keep trainers and QA contributors informed about new instructions, project updates, workflow changes, and review standards through Discord and other channels.
• Answer questions from trainers and QA contributors quickly and clearly, especially on attribution, periodization, visual analysis, cultural context, interpretation, representation, ethics, and rubric use.
• Reach out to inactive contributors, encourage them to re-engage, track follow-up actions, and note availability concerns when needed.
• Build and maintain project materials such as style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding documents.
• Plan and lead onboarding or training sessions for trainers and QAs so expectations, workflows, standards, and review rules are clearly understood.
• Keep review practices aligned so that all contributors apply the same humanities quality standards as projects change over time.
• Identify content that is culturally insensitive, overly Eurocentric, decontextualized, stereotypical, misattributed, or unsupported, and flag it appropriately.
• Recommend process improvements and help design scalable QA workflows for art history and cultural studies data projects.

Work setup

This is an hourly remote contractor role. You will collaborate with distributed expert teams and use communication and documentation tools to manage quality operations effectively.

Additional information

There is no immediate project attached to this position, but qualified candidates may be contacted for upcoming opportunities and future expert-network work.