Chemistry And Materials Science AI Workflow Reviewer

About OpenTrainOpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover opportunities, build a professional profile, and grow their experience in a rapidly developing field. Creating an OpenTrain account is free, and this contract role offers a way to apply specialized scientific knowledge to the development of advanced AI systems. About AI Training WorkAI training is the human side of building artificial intelligence. Experts create examples, review model outputs, explain decisions, and identify limitations so AI systems can become more accurate and useful. In this role, your scientific judgment will help evaluate AI coding agents working on complex chemistry and materials science problems. Your feedback and documentation will contribute to training materials, datasets, and case studies for STEM-focused AI workflows. The RoleOpenTrain AI is seeking a Chemistry and Materials Science AI Workflow Reviewer to develop high-quality training data from authentic scientific workflows. You will explain how AI coding agents support chemistry and materials science work, assess the quality and limitations of their output, and translate complex technical experiences into useful examples for improving AI systems. This is a remote, part-time contractor opportunity requiring 20+ hours per week. Compensation is $80$100 USD per hour. Work arrangement: Remote and worldwideEmployment type: Contractor, part timeTime requirement: 20+ hours per weekCompensation: $80$100 USD per hourPrimary language: EnglishWhat You'll DoYou will produce detailed, data-rich insights grounded in real chemistry or materials science practice. Your work will combine scientific expertise, technical evaluation, clear documentation, and verbal feedback. Document large codebase navigation, difficult debugging, feature development, and architectural changesDescribe ambiguous scientific problems, including methods, decisions, technical challenges, and outcomesEvaluate where AI coding agents are effective and where their output is limitedProvide practical recommendations for training AI systems in STEM contextsCreate datasets, training materials, and case studies reflecting real chemistry and materials science workflowsShare expertise through clear written documentation and verbal feedback sessionsDirect, review, test, and validate AI-assisted work across multistep technical workflowsRequired QualificationsAn advanced degree or equivalent professional experience is required in chemistry, materials science, chemical engineering, or a closely related STEM discipline. This opportunity is categorized as entry level within AI training, but it requires substantial subject-matter expertise and hands-on experience with scientific AI coding workflows. Advanced degree or equivalent professional experience in chemistry, materials science, chemical engineering, or a related STEM fieldHands-on experience using Codex, Claude Science, Claude Code, Claude Cowork, or comparable AI coding agents in scientific workExperience navigating complex codebases, debugging difficult issues, developing features, or making architectural changesAbility to evaluate, test, and validate AI-generated technical workAbility to explain process decisions across multistep technical workflowsStrong technical writing, verbal communication, analytical reasoning, and critical-thinking skillsHelpful BackgroundExperience evaluating or introducing AI-powered workflows in scientific research or industrial environments can help you produce stronger training examples. Familiarity with computational chemistry, materials modeling, laboratory automation, or other complex scientific codebases is also valuable. Experience solving ambiguous technical problems, developing end-to-end features, and communicating how AI tools affected productivity can further support success in this role. Why Work With OpenTrainAI training and data-labeling work is a fast-growing way to participate in technology. Contributors with specialized expertise help shape how state-of-the-art AI systems reason, generate content, write code, and support professional workflows. OpenTrain helps you build a durable AI training portfolio by giving you one place to manage your experience, show credible work, discover opportunities that match your skills, and develop a long-term career in the field. Apply your chemistry or materials science expertise to cutting-edge AI developmentWork remotely with a flexible part-time scheduleBuild experience in AI evaluation, training data, and scientific workflow analysisTurn specialized project work into a stronger professional portfolio .