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This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Mercor is partnering with a leading AI research organization to engage Civil and Environmental Engineering professionals in a full-time , high-impact project focused on training and advancing frontier AI systems. This role offers a unique opportunity to apply your technical expertise toward developing models that can reason through complex engineering problems with accuracy and depth. As a full-time AI Tutor – Civil and Environmental Engineering Specialist , you will collaborate with technical and research teams to provide expert annotations, feedback, and high-quality input that shape the next generation of intelligent technologies. You’ll refine data workflows, guide AI task development, and ensure engineering knowledge is represented with precision and integrity. This position is ideal for professionals eager to merge their engineering background with cutting-edge AI innovation in a collaborative, research-driven environment. Key Responsibilities Use proprietary software to provide precise annotations and evaluations on civil and environmental engineering content. Collaborate with AI researchers and technical staff to design and enhance annotation tools and workflows. Apply subject-matter expertise to assess and improve AI model reasoning and accuracy. Interpret evolving task instructions and execute complex assignments with consistency and attention to detail. Contribute to the creation of high-quality datasets that improve AI understanding of engineering systems and practices. Qualifications Master’s degree or PhD in Civil or Environmental Engineering, or a closely related field. Excellent written and verbal English communication skills. Strong analytical, organizational, and research abilities. Ability to work independently and make informed decisions with minimal oversight. Proficiency in interpreting engineering data, research