Build and evaluate training data for a frontier lab's materials science models: DFT, AIMD, classical MD, surface and adsorption modeling, reaction energetics. For US-based computational PhDs fluent in VASP, Quantum ESPRESSO, CP2K, LAMMPS or ASE. Long-term, 10–40 hours a week, $84/hour.
Full-time Bay Area hybrid role with an AI lab's research team: review model reasoning on life sciences tasks, write golden solutions and instruction specs, and design benchmarks. For life sciences PhDs with 4+ years of substantive research experience. W-2 via Cincinnatus, $65–105/hour.
Experimental scientists create and review training data for a frontier lab's materials science models: inorganic synthesis, superconductors, semiconductors and advanced packaging, characterization (XRD, SEM, TEM) and fabrication. PhD, MS or equivalent hands-on experience. US-based, 10–40 hours a week, $84/hour.
Full-time W-2 role through Cincinnatus LLC, embedded with a leading AI lab: senior drug development scientists write golden solutions, instruction specs and benchmarks for pharma R&D reasoning. Hybrid in the Bay Area, 40 hours a week for an initial 6 months. PhD, PharmD or MD with 4+ years in industry R&D. $75–115/hour.
Design the primers, plasmids, gRNAs, mRNA constructs and repair templates that become ground truth for a frontier model, and write the rubrics that judge sequence design quality. PhD strongly preferred, first-author record expected, 20 hours a week minimum. US only, $70–105/hour.
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