<div><p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.</p><p>Participation is project-based, not permanent employment.</p><h3>What This Opportunity Involves</h3><p>While each project involves unique tasks, contributors may:</p><ul><li>Design original computational physics problems that simulate real physics research workflows;</li><li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li><li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li><li>Develop problems requiring non‑trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li><li>Base problems on real research challenges or practical applications from physics practice;</li><li>Verify solutions using Python with standard physics simulation libraries;</li><li>Document problem statements clearly and provide verified correct answers</li></ul><h3>What We Look For</h3><p>This opportunity is a good fit for quantum researchers with an experience in Python open to part‑time, non‑permanent projects. Ideally, contributors will have:</p><ul><li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li><li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain‑specific libraries, Stata or knowledge of any programming language can be equivalent;</li><li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li><li>Experience with numerical simulation methods;</li><li>Ability to design problems that mirror real physics research workflows;</li><li>Creative thinking in problem design across diverse physics areas;</li><li>Familiarity with physics modeling and approximation techniques;</li><li>Strong written English (C1+)</li></ul><h3>Project time expectations</h3><p>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p><h3>Compensation</h3><p>On this project, contributors can earn up to <b>$35 per hour equivalent</b>, depending on their level and pace of contribution.</p><p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></div>