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Anthropology QA Lead - Remote

YO IT Consulting
Dubai, UAE
fulltime
Mid-Senior
Today
quality assuranceQA managementtestingISO 9001process improvementquality control
Free

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About This Role

  • In this hourly, remote contractor role, you will work as an Anthropology Quality Assurance Lead to oversee quality, consistency, and trainer performance across anthropology-focused AI training projects.
  • You will review AI-generated anthropology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.
  • You will assess work for anthropological accuracy, cultural context, theory application, ethnographic sensitivity, methodological rigor, ethical awareness, bias sensitivity, terminology quality, clarity, formatting, instruction-following, and adherence to project-specific rubrics.
  • You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently.
  • This role requires strong anthropology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams.
  • This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs.
  • Your anthropology quality leadership will directly help improve the world’s premier AI models by ensuring that anthropology training data is accurate, culturally sensitive, ethically aware, research-informed, and aligned with client expectations.
  • Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.
  • Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise.
  • This will also provide you with access to future projects available through our expert network.
  • Your profile
  • Bachelor’s, Master’s, or PhD degree in Anthropology, Cultural Anthropology, Archaeology, Biological Anthropology, Linguistic Anthropology, Sociology, Area Studies, Museum Studies, 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 anthropology research, teaching, ethnography, archaeology, museum/heritage work, cultural analysis, academic writing, fieldwork, or related workflows.
  • Strong understanding of anthropological theory, cultural relativism, ethnographic methods, kinship, ritual, language/culture relationships, material culture, human evolution, archaeology, ethics, and representation.
  • Ability to evaluate anthropology content against detailed rubrics and identify issues such as cultural stereotyping, ethnocentrism, unsupported generalizations, outdated terminology, methodological errors, weak contextualization, or ethically problematic framing.
  • Familiarity with areas such as ethnography, participant observation, archaeological methods, human origins, kinship systems, religion/ritual, migration, colonialism, Indigenous studies, museum ethics, or linguistic anthropology is preferred.
  • Experience leading or supporting remote teams of researchers, educators, reviewers, fieldworkers, 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, social science QA, academic review, cultural sensitivity review, or rubric-based review is a strong plus.

Key Responsibilities

  • Quality monitoring: Spot-check anthropology items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
  • Anthropology review: Evaluate AI-generated anthropology explanations, ethnographic summaries, cultural comparisons, archaeology discussions, human evolution explanations, and social/cultural reasoning for accuracy and sensitivity.
  • Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and anthropology-specific review standards.
  • Question handling: Respond to trainer/QA questions clearly and promptly, especially around cultural context, anthropological concepts, ethnographic methods, archaeology, human evolution, ethics, representation, 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 anthropology 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 anthropology-specific review requirements.
  • Quality alignment: Ensure all trainers and QAs apply anthropology review guidelines consistently and understand updates as projects evolve.
  • Bias and ethics review: Flag ethnocentric, stereotyping, culturally insensitive, outdated, unsupported, or ethically problematic anthropology content.
  • Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for anthropology AI training projects.

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