Social Sciences & Education Team Lead

Education Content Reviewer

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.

Quality monitoring:
Spot-check social science and education items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.

Social science and education review:
Evaluate AI-generated explanations, lesson content, social science summaries, research-methods content, educational activities, assessment items, learning guidance, and social 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 social science/education-specific review standards.

Question handling:
Respond to trainer/QA questions clearly and promptly, especially around education concepts, learning objectives, research methods, social context, bias, student appropriateness, 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 social sciences/education 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 social science/education-specific requirements.

Quality alignment:
Ensure all trainers and QAs apply social science and education review guidelines consistently and understand updates as projects evolve.

Bias and ethics review:
Flag stereotyping, stigmatizing language, unsupported claims about groups, weak causal reasoning, poor educational scaffolding, or ethically problematic content.

Process improvement:
Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for social science and education AI training projects.