Anthropology Quality Assurance Lead

You will review AI-generated anthropology explanations, ethnographic summaries, cultural comparisons, archaeology discussions, and human evolution content. You will assess accuracy, sensitivity, theory use, research methods, ethics, terminology, clarity, formatting, and whether instructions were followed.

You will also review trainer and QA submissions, give precise written feedback, communicate guideline updates, and help keep standards consistent across remote expert teams.

• Review anthropology content and trainer or QA work against detailed project rubrics.
• Identify stereotyping, ethnocentrism, outdated terms, missing context, and ethically problematic framing.
• Provide structured feedback and help resolve recurring quality issues.
• Maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and examples.
• Support contributor activation and follow-up when work is inactive or inconsistent.

This is an intermediate-level, part-time contract role for candidates in the United States. The work requires professional written English and a strong background in anthropology or a closely related field.

• Pay: $65 per hour.
• Time: 20+ hours per week.
• Location: Open to candidates in the United States.
• Language: Clear written English and confidence communicating with remote teams.
• Education and experience: Anthropology, archaeology, cultural anthropology, or a closely related background, plus experience in research, teaching, ethnography, fieldwork, museum or heritage work, or related academic workflows.
• Evaluation skills: Ability to apply detailed rubrics, cultural sensitivity, and methodological rigor.
• Helpful experience: AI training, data annotation, large language model evaluation, or social science quality assurance.
• Helpful knowledge: Cultural relativism, ethnographic methods, kinship, ritual, representation, and human evolution.
• Helpful leadership: Experience supporting remote researchers, reviewers, annotators, or QA contributors.
• Tools: Comfort with Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind systems that generate and understand text. Reviewers assess model outputs and provide clear judgments so those systems can produce more accurate, useful, and responsible responses, which is why subject-matter expertise matters.