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.
Evaluate AI models ability to solve research-grade problems through strategic reasoning and problem-solving.
Develop and refine tasks through calibration loops with state-of-the-art AI models.
Collaborate asynchronously and work independently to meet deadlines and improve AI model performance.
Utilize Python for problem setups oracle functions and solution validators in a Linux/terminal environment.
Qualifications
Must-Have
Graduate-level training in a relevant STEM domain (MS PhD or equivalent research experience).
Proficiency with at least one scientific software library evidenced by research publications open-source contributions or professional work.
Strong Python programming skills.
Ability to work independently and iterate on problem designs based on calibration feedback.
Comfortable working in a Linux/terminal environment with remote compute sandboxes.
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.