Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include BenchmarkGeneral CatalystPeter ThielAdam DAngeloLarry Summers and Jack Dorsey.
Design graduate-level computational problems using domain-specific scientific software libraries.
Develop problems requiring strategic reasoning to uncover hidden information through queries or experiments.
Calibrate tasks against state-of-the-art AI models and refine designs to achieve target difficulty.
Utilize scikit-fem or similar finite element libraries for tasks in Structural & Mechanical Engineering.
Work independently in a Linux/terminal environment with remote compute sandboxes.
Collaborate asynchronously to improve AI model performance and problem-solving strategies.
Qualifications
Must-Have
Graduate-level training in a relevant STEM domain (MS PhD or equivalent research experience).
Proficiency with at least one listed scientific software library.
Strong Python programming skills.
Ability to work independently and iterate on problem designs.
Comfortable in a Linux/terminal environment.
Preferred
Experience across multiple listed domains or tools.
Familiarity with benchmark or evaluation design.
Background in scientific pedagogy or exam/problem-set design.
Experience with computational reproducibility and containerized environments.
Application Process (Takes 2030 mins to complete)
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About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey. Position: STEM Computational Scientific Software & Evaluation Desig...
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include BenchmarkGeneral CatalystPeter ThielAdam DAngeloLarry Summers and Jack Dorsey.