Remote full-time opportunity for chemistry and chemical engineering experts to evaluate AI systems, develop scientific benchmarks, create assessment frameworks, and improve the reasoning capabilities of large language models.
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Remote opportunity for chemistry professionals to create scientific reasoning datasets, evaluation tasks, reference solutions, and scoring rubrics used to improve frontier AI systems' chemical reasoning and scientific analysis capabilities.
Design graduate-level computational problems using PySCF for quantum chemistry calculations including Hartree-Fock, DFT, TDDFT, CASSCF, and post-HF methods — calibrating tasks against frontier AI models to build advanced AI reasoning benchmarks.
Design graduate-level computational problems using scikit-hep and related HEP Python tools for particle physics data analysis, cross-section computations, and perturbative QCD — calibrating tasks against frontier AI models to build advanced AI reasoning benchmarks.
Design graduate-level computational problems using scikit-fem or similar finite element libraries for beam analysis, elasticity problems, and computational mechanics — calibrating tasks against frontier AI models to build advanced AI reasoning benchmarks.
Design graduate-level computational problems using scikit-rf and ngspice for RF/microwave network analysis, S-parameter characterization, circuit simulation, and frequency response — calibrating tasks against frontier AI models to build advanced AI reasoning benchmarks.
Design graduate-level computational problems using astropy and related tools for cosmological calculations, angular power spectra, and galaxy survey analysis — calibrating tasks against frontier AI models to build advanced AI reasoning benchmarks.
Design graduate-level computational problems using scanpy, scvelo, squidpy, and gudhi for single-cell RNA-seq analysis, trajectory inference, and spatial transcriptomics — calibrating tasks against frontier AI models to build advanced AI reasoning benchmarks.
Design graduate-level computational problems using libRoadRunner, Tellurium, or SBML-based tools for compartmental PK/PD modeling, enzyme kinetics, and systems biology simulations — calibrating tasks against frontier AI models to build advanced AI reasoning benchmarks.
Design graduate-level computational problems using ObsPy or SPECFEM for seismic waveform analysis, travel-time tomography, moment tensor inversion, and synthetic seismogram generation — calibrating tasks against frontier AI models to build advanced AI reasoning benchmarks.
Review simulated research environments and AI-generated scientific reasoning for a leading AI lab. Seeking Mechanical Engineering and Materials Science experts with research experience.
Remote contract opportunity for computational physics experts to evaluate scientific workflows, analyze simulation systems, and contribute advanced physics expertise toward training next-generation AI models.
Remote contract opportunity for astronomy and space science experts to evaluate AI-generated scientific reasoning and improve frontier AI systems.
Remote part-time opportunity for advanced physics researchers to solve complex theoretical problems, develop computational models, and contribute scientific expertise toward next-generation AI systems.
Remote contract opportunity for physics professionals to analyze scientific materials, create assessments, evaluate AI outputs, and contribute physics expertise toward next-generation AI systems.
Remote freelance opportunity for machine learning and research experts to design advanced AI evaluation challenges and benchmark tasks used to test and improve frontier AI systems.
Solve advanced chemistry problems and help train frontier AI systems in a remote contractor role with Turing.
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