MagicSchool is seeking a dedicated Senior LLM Quality Analyst to join their Trust, Safety and Quality team, focused on enhancing AI outputs for educators and students. This role blends data analysis with educational insight, aimed at improving the quality of generative AI technologies in education.
Responsibilities: Design and execute experiments for prompt engineering, maintain dashboards to ensure response quality, and evaluate AI outputs from an educator's perspective to enhance the educational experience.
Skills: Strong analytical skills, experience with BI tools, basic statistics knowledge, and proficiency in SQL are required. Familiarity with analytical Python is a plus.
Qualifications: 5+ years in data analysis, experience with LLMs or AI products, and a background in K-12 education or EdTech is preferred. Team lead experience is advantageous.
Location: This position is based in the USA. Remote work is possible, providing flexibility for employees.
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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