Material Sciences - Graduates - AI Training - US

Material Sciences - Graduates - AI Training - US Remote The role We’re looking for Materials Science Specialists to join our Expert Network to help train and evaluate cutting‑edge AI models using real scientific expertise. If you have a background in materials research, engineering, or technical analysis, we’ll send you a quick 10‑to‑15 minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $40+/hr, depending on skills and experience level . You must be prepared to complete paid tasks that require one hour of uninterrupted work , though many are shorter. What you’ll bring Educational Background: at minimum, a BSc (Bachelor of Science) in Materials Science , Metallurgy, Chemical Engineering, or a closely related STEM field. Technical Literacy: deep interest or experience in materials research, including the ability to interpret phase diagrams, crystalline structures, and property data. Analytical Rigor: strong attention to detail and the ability to concentrate on complex technical tasks for extended periods. Professional Verification: a valid LinkedIn profile or professional history to verify your credentials during the screening process. A PayPal account to receive payment from our clients What you’ll be doing in the role AI Evaluation & Ranking: comparing multiple AI-generated technical explanations or research summaries and ranking them based on scientific accuracy and logic. Strategic Document Audit: reviewing Materials Science scientific papers alongside AI-generated graphical abstracts to identify inaccuracies or misrepresentations. Fact‑Checking: verifying that the AI-generated data (formulas, material properties, and experimental results) faithfully represent the source scientific documentation. Model Alignment: providing high‑level feedback to help AI models produce “enterprise‑ready” corporate and scientific intelligence. Technical Verification: auditing the structural integrity of summaries involving complex chemical compositions and material behaviors. Key Technologies Generative AI (LLMs): training and fine‑tuning models specialized in STEM and corporate intelligence. Scientific Visualization: evaluating AI-generated graphical abstracts and data visualizations. Research Databases: navigating technical literature to provide “ground truth” data. #J-18808-Ljbffr Prolific Academic Ltd