Sociology QA Lead - Remote
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Key skills for this role
About the Role
YO IT Consulting seeks a Sociology Quality Assurance Lead for a remote contract role overseeing quality and trainer performance on AI training projects. You will review AI-generated sociology content, provide feedback, and ensure adherence to quality standards.
Key Skills for This Role
Responsibilities
- Oversee quality, consistency, and trainer performance across sociology focused AI training projects
- Review AI generated sociology content and trainer/QA work, evaluate output quality against project guidelines
- Provide precise written feedback and ensure contributors follow quality standards
- Spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation
- Help activate contributors who are not working consistently
Requirements
- Bachelor’s, Master’s, or PhD degree in Sociology, Social Sciences, or closely related field
- Strong grasp of the English language
- 3+ years of experience in sociology research, teaching, social policy analysis, or related workflows
- Strong understanding of sociological theory, social institutions, inequality, and research methods
- Ability to evaluate sociology content against detailed rubrics
- Experience leading or supporting remote teams is strongly preferred
Full Job Posting
Job Description
- In this hourly, remote contractor role, you will work as a Sociology Quality Assurance Lead to oversee quality, consistency, and trainer performance across sociology focused AI training projects.
- You will review AI generated sociology 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.
- This role requires strong sociology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams.
Your Profile
- Bachelor’s, Master’s, or PhD degree in Sociology, Social Sciences, Social Research, Demography, Criminology, Gender Studies, Ethnic Studies, Public Policy, Anthropology, 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 sociology research, teaching, social policy analysis, qualitative/quantitative research, academic writing, social science review, community research, or related workflows.
- Strong understanding of sociological theory, social institutions, inequality, stratification, race/ethnicity, gender, class, culture, deviance, organizations, social change, demography, and research methods.
- Ability to evaluate sociology content against detailed rubrics and identify issues such as unsupported generalizations, stereotyping, methodological flaws, weak causal claims, oversimplification, biased framing, or inaccurate use of sociological concepts.
- Familiarity with areas such as survey research, interviews, ethnography, statistical analysis, social policy, urban sociology, family sociology, education, health disparities, work/organizations, or criminology is preferred.
- Experience leading or supporting remote teams of researchers, educators, analysts, reviewers, 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, or rubric based review is a strong plus.
Key Responsibilities
- Quality monitoring: Spot check sociology items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
- Sociology review: Evaluate AI generated sociology explanations, theory applications, research summaries, social policy discussions, demographic interpretations, and reasoning 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 sociology specific review standards.
- Question handling: Respond to trainer/QA questions clearly and promptly, especially around sociological concepts, social theory, research methods, inequality, culture, ethics, bias, 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 sociology 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 sociology specific review requirements.
- Quality alignment: Ensure all trainers and QAs apply sociology review guidelines consistently and understand updates as projects evolve.
- Bias and ethics review: Flag stereotyping, stigmatizing language, unsupported claims about social groups, weak causal reasoning, or ethically problematic social analysis.
- Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for sociology AI training projects.
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