About this role
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.