About this role
In this hourly, remote contractor role, you will work as a School Science (Elementary) Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across elementary-level science education AI training projects. You will review AI-generated school science 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 scientific accuracy, grade-level appropriateness, conceptual clarity, child-safe explanations, curriculum alignment, age-appropriate language, reasoning quality, 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 elementary science knowledge, educational judgment, strong English communication skills, excellent attention to detail, and the ability to manage quality workflows across remote education-focused 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 elementary science quality leadership will directly help improve the world’s premier AI models by ensuring that school science training data is accurate, age-appropriate, engaging, safe, and clearly explained for young learners.