Semiconductor Material Science (Masters/PhDs)

What You'll Do

• Develop, solve, and critically review advanced material science problems with real-world relevance
• Apply your expertise in semiconductor materials, molecular modeling, or related disciplines to craft complex, rigorous problem statements
• Evaluate AI-generated solutions for scientific accuracy, depth, and clarity
• Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning
• Ensure all deliverables meet high standards of scientific precision and communicative clarity

Who You Are

• Holds a Master's or PhD in Material Science, or a closely related field
• Deep expertise in semiconductor materials, molecular modeling, or adjacent areas
• Proficient in Python or MATLAB for research or technical problem-solving
• Exceptional written communicator — you can explain complex science with clarity and precision
• Self-motivated and comfortable working independently in an asynchronous environment
• Detail-oriented with a natural commitment to scientific rigor

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Background in computational materials science or quantum chemistry
• Experience writing technical documentation, peer-reviewed papers, or structured research reports
• Familiarity with AI tools or machine learning concepts as an end user or researcher