Alignerr is seeking Masters in Public Health graduates to train AI models on population health, biostatistics, and global health equity. Work remotely 10β40 hours/week at an hourly rate of $35β$55, contributing to evidence-based health information and policy analysis.
Join a team partnering with leading AI researchers to challenge models, ensure scientific consensus, and uphold ethical health guidelines while delivering high-impact outcomes globally.
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Remote MPH: Health Policy & AI Data Trainer in Oxford employer: Alignerr Corp.
Join a leading global AI research firm that values innovation and collaboration, offering a dynamic remote work environment for an Applied Physicist. With competitive pay, flexible scheduling, and a strong emphasis on employee growth, this role provides the opportunity to engage in cutting-edge projects while contributing to the advancement of AI technology. Experience a supportive culture that encourages creativity and professional development, making it an ideal place for those passionate about physics and AI.