Science AI Benchmark Problem Designer

Mercor is looking for a candidate in Tulsa, Oklahoma to design challenging computational problems for AI evaluation in various STEM domains. Ideal candidates will have graduate-level expertise with scientific software tools and strong Python skills. Responsibilities include problem design, calibration against AI models, and independent work. Candidates should be comfortable with specific software libraries in domains like Bioinformatics, Computational Chemistry, and more. A commitment of 15–20 hours per week is required. #J-18808-Ljbffr