Remote Bayesian Statistics & AI Problem Designer

Mercor is seeking a Computational Bayesian Statistics and Applied Mathematics Expert to tackle challenging computational problems for AI applications. This remote position requires a commitment of 15-20 hours per week, focusing on designing tests to evaluate AI capabilities in scientific tasks. The ideal candidate will hold graduate-level STEM training and possess strong Python skills, with familiarity in scientific software libraries. The role promotes independent work and offers challenge-focused collaborations. J-18808-Ljbffr