Material Science PhD Coding Experts
Mercor
$70/hour · as listed
Mercor is seeking advanced researchers with PhD or Master's qualifications in materials science to design AI evaluation tasks for scientific computing. You'll author original, executable research problems that test the capabilities of frontier AI models, working across materials science subdomains with a strong coding component. This remote position is ideal for scientists who can translate domain expertise into rigorous technical benchmarks.
As part of Mercor's collaboration with leading AI labs, you'll contribute to developing evaluation standards for scientific AI. The work demands deep knowledge in at least two materials science subdomains and hands-on coding ability to create problems that push current models to their limits. This is specialized AI data work that bridges academic rigor with practical model assessment.
The position is offered at $70/hour on a remote, hourly basis, typically 40 hours per week. It suits researchers with strong STEM backgrounds and proven expertise in materials science who want to shape how advanced AI systems are tested in scientific domains.
From the listing: Mercor marketplace · hourly · 40h/week. Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code) Mercor is partnering with leading AI labs on a new benchmark for scientific computing. You will author original, executable research problems that today's frontier models cannot solve. Domains — depth required in at least two subdomains (with a coding focus) - Materials science — semiconductor materials, m
Applications are completed on the listing’s own site. Pay is shown as posted by the source (“as listed”) or the aggregator’s estimate where marked — offers and availability change, and individual results vary.
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