Social Sciences & Education Team Lead

In this hourly, remote contractor role, you will work as a Social Sciences & Education Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across social science, education, and learning-focused AI training projects. You will review AI-generated social science/education 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 conceptual accuracy, research literacy, educational appropriateness, social context, methodology quality, ethical awareness, bias sensitivity, 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 social science and/or education 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 with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your social sciences and education quality leadership will directly help improve the world’s premier AI models by ensuring that social science and education training data is accurate, nuanced, research-informed, ethically aware, and aligned with client expectations.

Requirements: - Bachelor’s, Master’s, PhD, teaching credential, or equivalent professional experience in Education, Sociology, Psychology, Anthropology, Political Science, Social Work, Public Policy, Educational Psychology, Curriculum Studies, or a 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 teaching, curriculum development, social science research, educational content review, instructional design, academic writing, social policy, student assessment, or related review workflows. - Strong understanding of social science concepts, education theory, pedagogy, learning outcomes, assessment design, research methods, ethics, bias, culture, social institutions, inequality, and evidence-based reasoning. - Ability to evaluate social science/education content against detailed rubrics and identify issues such as unsupported generalizations, stereotyping, weak causal claims, poor instructional design, biased framing, flawed methodology, or age-inappropriate educational content. - Familiarity with areas such as classroom learning, assessment, lesson planning, social research, qualitative/quantitative methods, educational equity, child development, learning science, or curriculum standards is preferred. - Experience leading or supporting remote teams of educators, researchers, curriculum writers, reviewers, annotators, trainers, 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, honeypots, calibration tasks, and documentation. - Experience with AI training, data annotation, LLM evaluation, social science QA, educational QA, curriculum review, or rubric-based review is a strong plus.