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 computational problems using domain-specific scientific software libraries.
Evaluate AI models by testing problem-solving capabilities in scientific workflows.
Develop strategies for querying simulations and interpreting outputs.
Collaborate to refine problem designs through calibration with AI models.
Work independently and asynchronously to meet project goals.
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 in a Linux/terminal environment.
Available for 1520 hours/week.
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.