<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>About The Job<br/><br/></strong><strong>Mercor</strong> connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include <strong>Benchmark</strong>, <strong>General Catalyst</strong>, <strong>Peter Thiel</strong>, <strong>Adam D'Angelo</strong>, <strong>Larry Summers</strong>, and <strong>Jack Dorsey</strong>.<br/><br/><strong>Position:</strong> STEM Computational Scientific Software &amp; Evaluation Design<br/><br/><strong>Type:</strong> <strong>Contract<br/><br/></strong><strong>Compensation:</strong> <strong>$45–$100/hour<br/><br/></strong><strong>Location:</strong> <strong>Remote<br/><br/></strong><strong>Commitment:</strong> <strong>15–20 hours/week<br/><br/></strong><strong>Role Responsibilities<br/><br/></strong><ul><li>Design computational problems using domain-specific scientific software libraries.</li><li>Evaluate AI models by testing problem-solving capabilities in scientific workflows.</li><li>Develop strategies for querying simulations and interpreting outputs.</li><li>Collaborate to refine problem designs through calibration with AI models.</li><li>Work independently and asynchronously to meet project goals.<br/><br/><br/></li></ul><strong>Qualifications<br/><br/></strong><strong>Must-Have<br/><br/></strong><ul><li>Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).</li><li>Proficiency with at least one listed scientific software library.</li><li>Strong Python programming skills.</li><li>Ability to work in a Linux/terminal environment.</li><li>Available for 15–20 hours/week.<br/><br/><br/></li></ul><strong>Preferred<br/><br/></strong><ul><li>Experience across multiple listed domains or tools.</li><li>Familiarity with benchmark or evaluation design.</li><li>Background in scientific pedagogy or exam/problem-set design.</li><li>Experience with computational reproducibility and containerized environments.<br/><br/><br/></li></ul><strong>Application Process (Takes 20–30 mins to complete)<br/><br/></strong><ul><li>Upload resume</li><li>AI interview based on your resume</li><li>Submit form<br/><br/><br/></li></ul><strong>Resources &amp; Support<br/><br/></strong><ul><li>For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome</li><li>For any help or support, reach out to: support@mercor.com<br/><br/><br/></li></ul><em>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</em> </div>