Physics Experts for AI Training

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview We are looking for a highly analytical and research-driven individual with a strong background in Physics, particularly at the level expected in engineering entrance exams, as well as graduate or PhD-level programs. You should be able to break down complex Physics concepts into simple, clear explanations and work efficiently. The projects will also help you learn how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world! Responsibilities: Design and solve challenging Physics problems to probe the limitations of large language models. Create clear, high-quality, step-by-step solutions with well-articulated reasoning. Collaborate with LLM researchers to align problems with evaluation goals, especially in areas where models struggle (e.g., abstraction, multi-step reasoning, symbolic manipulation). Help define new evaluation benchmarks based on Physics curricula spanning early undergraduate to PhD-level topics. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 10+ weeks Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria,Turkey, Vietnam Selection process: Home Assignment Master’s, Ph.D., or those currently pursuing a Ph.D. in Physics, Applied Physics, or similar Proficient in at least three of the following tools: QuTiP, OQuPy, QuSpin, TenPy, Strawberry Fields, openEMS, ngspice, Quantum ESPRESSO, OpenFOAM, FEniCS/FEniCSx (DOLFINx), WarpX, REBOUND, PYTHIA, Kwant, Elmer FEM, GF180MCU PDK, Sky130 PDK, FreeCAD, Project Chrono, Scilab Xcos, volare, emcee, Icarus Verilog, GTKWave, Verilator, gmsh, Elmer, pyarmadillo, and MeshLab. Strong research and analytical skills.