Cultural Studies QA Lead

Role overview

This remote contractor position is focused on quality leadership for humanities-oriented AI training work. You would oversee consistency, accuracy, and reviewer performance across art history, visual culture, cultural studies, and broader humanities projects. The work centers on checking AI-produced content and reviewer output, then giving clear written guidance so all contributors meet the expected standards.

The role emphasizes historical accuracy, careful visual interpretation, cultural context, terminology precision, interpretive nuance, awareness of sources, representation sensitivity, formatting, and strict adherence to project rubrics. You will also help surface repeat quality issues, coordinate updates with trainers and quality reviewers, support onboarding, maintain documentation, and re-engage contributors who are inactive.

This position is part of a fast-growing AI data services organization that supports training data for major AI companies and foundation model teams. Your leadership in art history and cultural studies quality control will directly contribute to stronger, more accurate, culturally aware, and better-explained AI outputs.

The selection process includes an AI interview, a domain-specific assessment, and a recruiter interview. There is no immediate active project for this role; however, qualified candidates may be contacted first when relevant work becomes available and may also gain access to future opportunities through the expert network.

Responsibilities

• Review sampled art history and cultural studies work to detect quality problems and share ongoing feedback with contributors.
• Evaluate AI-generated explanations, visual readings, cultural comparisons, museum-style summaries, and critical interpretations for accuracy and depth.
• Keep trainers and quality reviewers informed about guideline updates, workflow changes, and standards through Discord and related channels.
• Answer questions from trainers and QAs quickly and clearly, especially on attribution, periodization, cultural context, representation, ethics, and rubric use.
• Reach out to inactive contributors, encourage them to become active again, monitor follow-ups, and note availability concerns.
• Build and maintain documentation such as style guides, trackers, FAQs, calibration tasks, examples, quality notes, and onboarding resources.
• Plan and conduct onboarding or training calls to explain project expectations, workflows, rubrics, and review standards.
• Make sure review practices stay aligned across the team as project requirements evolve.
• Identify culturally insensitive, Eurocentric, stereotyped, misattributed, decontextualized, or unsupported statements and flag them appropriately.
• Recommend workflow improvements and help establish scalable QA systems for humanities-focused AI training work.

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.
• Strong English writing and communication ability for guideline interpretation, team coordination, and precise 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 a similar humanities workflow.
• Solid command of art historical methods and concepts, including iconography, style, periodization, patronage, materials, museum ethics, cultural theory, representation, and historical context.
• Capability to assess work against detailed rubrics and catch problems such as misattribution, weak visual analysis, incorrect dating, stereotyping, outdated terminology, and unsupported interpretation.
• Preferred background in areas such as ancient, medieval, Renaissance, modern, or contemporary art; non-Western art histories; photography; film/media; visual culture; postcolonial theory; gender studies; museum studies; or heritage studies.
• Experience working with or leading remote teams of researchers, writers, reviewers, educators, curators, annotators, or QAs is strongly preferred.
• Comfort using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management platforms.
• Highly organized and detail-oriented, with the ability to manage style guides, FAQs, trackers, onboarding documents, and calibration materials.
• Experience with AI training, data annotation, LLM evaluation, cultural sensitivity review, image/content review, or rubric-based review is an added advantage.

Additional information

This is an hourly remote contract role. The hiring process includes an AI interview, a domain-specific task, and a recruiter interview. Candidates should note that there is no immediate project currently attached to this position, but successful applicants may be prioritized for future openings through the expert network.