Material Science Specialist (Masters/PhDs)

<strong>Material Science Specialist (AI Training)<br><br></strong><strong>About The Role<br><br></strong>What if your deep expertise in materials science could directly shape how AI reasons through some of the most complex problems in modern science? We're looking for Materials Science specialists — Masters and PhD holders — to help train and evaluate cutting-edge AI models on advanced scientific concepts in semiconductor materials, molecular modeling, and beyond.<br><br>This is a fully remote, flexible contract role built for domain experts who want meaningful, intellectually engaging work on their own schedule. No prior AI experience needed — just rigorous scientific knowledge and a sharp, analytical mind.<br><br><ul><li>Organization: Alignerr</li><li>Type: Hourly Contract</li><li>Location: Remote</li><li>Commitment: 10–40 hours/week<br><br></li></ul><strong>What You'll Do<br><br></strong><ul><li>Develop, solve, and critically review advanced materials science problems with real-world scientific relevance</li><li>Apply your expertise in semiconductor materials, molecular modeling, or related disciplines to design complex, high-quality problem sets</li><li>Evaluate AI-generated scientific content for accuracy, depth, and rigor — and push it to be better</li><li>Collaborate asynchronously with AI researchers and fellow domain experts to enhance AI reasoning capabilities</li><li>Ensure scientific clarity, precision, and depth across all deliverables</li><li>Work independently on task-based assignments, fully on your own schedule<br><br></li></ul><strong>Who You Are<br><br></strong><ul><li>Master's or PhD in Materials Science or a closely related field</li><li>Strong expertise in semiconductor materials, molecular modeling, or adjacent research areas</li><li>Comfortable coding in Python or MATLAB for research or data-driven work</li><li>Exceptionally detail-oriented — you hold your work to a high scientific standard</li><li>Clear and precise written communicator who can explain complex concepts effectively</li><li>Self-motivated and reliable when working independently<br><br></li></ul><strong>Nice to Have<br><br></strong><ul><li>Prior experience with data annotation, evaluation systems, or AI training workflows</li><li>Background in computational materials science or materials informatics</li><li>Experience writing technical documentation, research papers, or scientific assessments</li><li>Familiarity with AI tools or large language models as an end user<br><br></li></ul><strong>Why Join Us<br><br></strong><ul><li>Work on cutting-edge AI projects alongside leading AI research labs</li><li>Fully remote and flexible — work when and where it suits you</li><li>Freelance autonomy with the structure of meaningful, expert-level work</li><li>Contribute to AI development that advances scientific understanding at scale</li><li>Potential for ongoing work and contract extension as new projects launch</li></ul>

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