• Design, test, and refine prompts to optimize LLM outputs for accuracy, relevance, and tone across diverse use cases. • Train and fine-tune LLMs using proprietary datasets and prompt engineering techniques. • Embed AI prompts into applications and software to automate complex or repetitive tasks. • Monitor performance data to optimize outputs and fine-tune strategies. • Support the integration of AI-powered chatbots into team workflows and enterprise platforms. • Monitor AI system performance, analyze output quality, and iterate based on feedback and metrics. • Measure SEO and adjust strategies to improve performance on key terms. • Collaborate with domain subject matter experts, product, engineering, and UX teams to align AI behavior with user expectations and business goals. • Maintain documentation of prompt libraries, model behaviors, and integration strategies.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Lead CAD Drafter will support our engineering team by drafting, coordinating surveys, managing permit requirements, and collaborating with GRC leadership to achieve project success. - Create basemaps, designs, as-builts, Google Earth/KMZ files, GIS data, and AutoCAD drawings. - Assist the Design and Draft Manager in the creation of all CAD templates and standards. - Review and complete aerial and UG permit drawings; assist in performing QC checks for internal drafts and external drafting subs. - Abide by all national UG and NESC engineering standards while drafting. - Evaluate engineering scope and logistics; assist in gathering variables to determine the best route and cost. - Work directly with the Project Manager to oversee project success and ensure all drafting timelines are clearly communicated. - Assist the VP of Engineering with dates for all engineering-associated design solution milestones. Qualifications - Minimum of 4 years’ experience with drafting in the telecom industry. - Proven success with communication and Right-of-Way (ROW) construction drawings across various states and jurisdictions. - Deep understanding of utility construction processes, terminology, and various GIS practices. - Ability to plan CAD design flow/methodology and maintain high organization through daily job allocation. - 4-year degree, military experience, or a 6-year minimum of related working experience. - A valid driver’s license is required. Requirements - Strong background in CAD Template Standards and Google Earth/KMZ/GIS data. - Proficiency with Google Suite (Sheets, etc.), Zoho, and project management tools. - Microsoft Office certifications are encouraged. - Process and documentation orientation with a focus on continuous improvement. - Strong analytical, problem-solving, and communication skills. Benefits - Salary Range: $70,000 - $90,000 + 10% bonus - Schedule: Day Shift: Monday - Friday - Remote (Must be willing to travel 5-10%) - Role Openings: 1 - Target Start Date: 2-3 weeks from offer Interview Process - Recruiter screen - Interview with the Hiring Manager - Final Interview with VP of Engineering - Conditional offer upon successful background check Equal Opportunity Employer Glass Roots Construction (GRC) is an Equal Opportunity Employer. We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability, or veteran status. Reasonable Accommodation Glass Roots Construction (GRC) provides reasonable accommodations to individuals with disabilities. If you require accommodation to participate in the hiring process or to perform the essential functions of this job, please contact us at GRCJobs@glassrootsconstruction.com.

• Reviewing AI-generated responses to clinical scenarios and rating them for accuracy, clinical appropriateness, safety, and reasoning quality • Comparing multiple model answers and selecting/justifying the best response • Writing improved exemplars, rationales, or structured feedback to help models learn where they fall short

• Reviewing AI-generated responses to clinical scenarios and rating them for accuracy, clinical appropriateness, safety, and reasoning quality • Comparing multiple model answers and selecting/justifying the best response • Writing improved exemplars, rationales, or structured feedback to help models learn where they fall short