MagicSchool is seeking a Senior LLM Quality Analyst to join their Trust, Safety, and Quality team, ensuring high standards for AI outputs that address educators' needs. This role requires a blend of data analysis, prompt engineering, and educational insights to improve AI technology for teachers.
Responsibilities: Design and execute prompt engineering experiments, maintain response quality reporting and dashboards, and evaluate AI outputs from an educational perspective.
Skills: Strong analytical skills, experience with BI tools, basic statistics knowledge, SQL, and strong communication skills are required; analytical Python experience is a plus.
Qualifications: 5+ years in data analysis, team lead experience, and preference for K-12 teaching or EdTech experience; familiarity with LLMs or AI products is preferred.
Location: Remote work from the USA.
Compensation: $120000 - $185000 / Annually
WHO WE ARE: MagicSchool is the premier generative AI platform for teachers. We're just over 2 years old, and more than 6 million teachers from all over the world have joined our platform. Join a top team at a fast growing company that is working towards real social impact. Make an account and try us out at our website and connect with our passionate community on our Wall of Love.
Senior LLM Quality Analyst
As a Senior LLM Quality Analyst, you'll work with the Trust, Safety and Quality team to ensure MagicSchool's AI outputs meet the highest standards for educators and students. This role combines data analysis, prompt engineering, and educational experience. You will design and execute experiments to test prompt strategies, evaluate model performance, and maintain dashboards. You will bring a critical eye to AI quality, strong analytical skills, and a deep understanding of educational needs.
Application Notice:
Notice: Priority Deadline and Review Start Date
Please note that applications for this position will be accepted until 11/2/25 - applications received after this date will be reviewed on an intermittent basis. While we encourage early submissions, all applications received by the priority deadline will receive equal consideration. Thank you for your interest, and we look forward to reviewing your application.
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