CodePath is an AI-native organization building pathways into tech for the next generation of engineers, CTOs, and founders. We deliver industry-vetted technical courses and programs to learners across the country. We operate with the pace and ownership culture of a technical startup. Our team runs on Claude, partners with Anthropic, and uses AI as a core part of how we work. The problems here are technically hard, the impact is visible, and the people are sharp. With 40,000+ learners and alumni from 1,100+ colleges now working at 4,050 companies, including Amazon, Google, and Meta, we are reshaping who leads tech and how the industry gets built. About the Role Location: In-Person, various locations, United States Role-Type: Adjunct Instructor, Seasonal Full-Time, W2 Employee Duration: July 20, 2026 - December 23, 2026 (onboarding and training begin in July, precise course dates vary by institutional calendars) Reports To: Senior Manager, Program Implementation Compensation: $72,000 to $88,000 total pay for the full assignment (if needed, relocation assistance available up to $5,000, covering flights and accommodation) Interview timeline: Offers extended on a rolling basis, with a target final date of June 30, 2026 CIR Instructors do not just teach computer science; they change the trajectory of students who are one great class away from believing they belong in tech. As a CIR Instructor, you will step into a university classroom as a full, institution-backed instructor. You’ll bring your industry experience directly to students in their first computer science course, teaching live and in person, delivering CodePath's industry-aligned curriculum in Python, Java, or C++, with thoughtful integration of AI into how students learn and problem-solve. CodePath provides training, onboarding, and ongoing support. Your host university plugs you into faculty mentorship and a collaborative teaching environment. You will build trust on campus, unlock confidence in students, and help shape what CS education looks like at your institution. This is a full-immersion role. It starts with training in July 2026 and runs through the Fall semester on campus, ending in December 2026. It's best suited for engineers who are local to their assigned university or able to relocate, and who are ready to make the most meaningful semester of their career. Key Responsibilities - Training & Development: Attend summer onboarding sessions to build proficiency with CodePath’s teaching tools and instructional strategies before the semester begins - Course Instruction: Teach an introductory computer science course (20-120 students per section), supporting students in achieving learning objectives - Additional Instruction: Support additional CodePath courses and programs with partner universities as a Lead Instructor (as capacity allows) - Curriculum Adaptation & Lesson Preparation: Review the provided curriculum and adapt or modify materials as needed to align with the university’s course structure, learning objectives, and student needs, while preparing and delivering engaging, industry-relevant lessons - Teaching Assistant Leadership: Manage, mentor, and support Teaching Assistants (Tech Fellows) where applicable. These are advanced students who assist part-time (approx. 1:20 TF-to-student ratio at select sites) - Office Hours: Hold regular in-person office hours and actively encourage student participation - Partnership: Collaborate with internal stakeholders (e.g., CodePath Outreach and Program Managers) and external partners (e.g., faculty mentors and university administrators) to ensure alignment with program goals - Deliver Impact beyond the classroom: Integrate enrichment components like technical interview prep workshops and promote use of CodePath’s Career Center resources - Outreach: Partner with Campus Outreach teams to support and promote CodePath courses through on-campus engagement initiatives - Community-building: Foster a strong CIR community by participating in regular cohort calls, contributing to discussions, and sharing insights and resources - Feedback: Share timely feedback with the CIR program team about the experience at your specific university and the program overall - Deepen Institutional Knowledge Base: Capture and share knowledge (e.g., resource links, departmental context, tips) that will support future CIR Instructors at your institution Minimum Qualifications - 4+ years of professional experience in Software Engineering using Java, Python, or C++ - Ability to reside near campus and be on-site from August through December 2026 - Undergraduate degree in Computer Science or a related field - Strong interpersonal and influencing skills; comfortable navigating ambiguity - Demonstrated passion for teaching and prior experience leading classrooms - High levels of professionalism and responsiveness across multiple forms of communication with multiple stakeholders Preferred Qualifications - Required at select partner institutions: Master’s or PhD in Computer Science or a related field (see locations below) - UPRM only: Fluency or working proficiency in Spanish - Experience mentoring or managing junior developers - Prior experience teaching a technical course Partner Locations - Alabama A&M University - Huntsville, AL - Python - Clark Atlanta University - Atlanta, GA - Python - California State University, Dominguez Hills - Carson, CA (MS preferred) - Java - California State University, Fullerton (MS preferred) - Fullerton, CA - C++ - Fisk University - Nashville, TN (MS preferred) - Python - Florida A&M University - Tallahassee, FL (MS preferred) - C++ - Florida International University - Miami, FL - Python - Hampton University - Hampton, VA (MS required) - Java - Howard University - Washington, D.C. (MS preferred) - Python - Morehouse College - Atlanta, GA - C++ - Morgan State University - Baltimore, MD (MS preferred) - Python - New Mexico State University - Las Cruces, NM (MS preferred) - Java - North Carolina A&T State University - Greensboro, NC (MS required) - Python - Prairie View A&M University - Prairie View, TX (MS preferred) - Python - Tennessee State University - Nashville, TN (MS preferred) - Python - University of Puerto Rico, Mayaguez - Mayaguez, Puerto Rico - Python - University of Texas at El Paso - El Paso, TX - Python Seasonal/Part-Time Employee Benefits - Wellness: Employee Assistance Program - Additional Perks: Exclusive marketplace savings Pay range $72,000—$88,000 USD

Role Description We are currently partnering with a well-established teleradiology practice seeking Board Certified or Board Eligible Radiologists to join their remote team on a highly flexible basis. - Fully remote teleradiology position – work from anywhere in the U.S. or internationally (with active U.S. licenses) - Full-time 1099 or Part-time options available (At-Will “Read When You Want” model) - No on-call, no weekends, and no night shifts – daytime only - No benefits included (1099 independent contractor) - Strong support staff and advanced AI tools that boost reading efficiency by 20-30% - Full-time radiologists are currently earning $1.3M – $1.4M+ annually - 100% outpatient reads with no strict quotas or minimums - Malpractice insurance, tail coverage, and workstation provided - Flexible mix of general radiology and subspecialty cases (you can read 100% in your subspecialty or blend in general cases) - Extremely physician-centric group that prioritizes your preferred schedule, case mix, and reading style Qualifications - Graduate of an accredited radiology residency program - Board Certified or Board Eligible (ABR or equivalent) - Ability to obtain and maintain U.S. state medical licenses - Subspecialty training or experience in Neuroradiology, Musculoskeletal, Body Imaging, or similar is a plus - *Radiologists living outside the United States who hold an active principal state license and additional U.S. state licenses are encouraged to apply Requirements - Active licenses in any of the following states (a plus but not required): - Major Core States: CA, AZ, NV, TX, FL - Other Core States: GA, IL, KY, MA, NY, CT - The client’s licensing team will support you in obtaining up to 2–3 additional state licenses to help you get started quickly. Benefits - This is an outstanding opportunity for radiologists who want true schedule autonomy, excellent earning potential, and the ability to work remotely with minimal administrative burden. Company Description If you are interested, please send your CV along with a brief note about your availability and preferred schedule to: contact@medatlantichcs.com All inquiries will be kept strictly confidential.

• Partner with scientists and research leaders to identify high-impact opportunities where AI can improve research speed, quality, consistency, traceability, and decision-making. • Help shape multi-year GenAI strategies, lead workstreams, and establish reusable building blocks - agentic frameworks, evaluation harnesses, retrieval and grounding components, tool servers, prompt and policy libraries, and provenance infrastructure - on which research programs build. • Architect and personally implement the agentic system-of-systems that executes complex, long-horizon scientific workflows across research, including target evidence assembly, indication rationale construction, biomarker interpretation, translational synthesis, literature and evidence triangulation, and decision support, with explicit attention to inter-agent coordination, state and memory management, verification, recovery from intermediate failure, and lifecycle governance of agents in production. • Establish the scientifically rigorous evaluation, benchmarking, and reliability standards that critical research AI systems expected to meet, including curated benchmark datasets, expert-reviewed reference standards, rubric-based assessments, hallucination and grounding metrics, calibration of uncertainty, longitudinal monitoring, regression gating in production, and the governance under which those standards are applied. • Design mechanisms for incorporating expert feedback, scientific rationale, provenance, and research context into AI workflows so that systems and institutional knowledge improve over time. • Collaborate with engineering, data, IT, security, legal, vendor, and platform teams to ensure prototypes are designed with appropriate governance, integration paths, and scalability in mind. • Communicate AI opportunities, risks, limitations, evidence quality, and results clearly to scientific, technical, and executive audiences. • Stay current with emerging AI methods, tools, vendors, and industry practices, and assess where they can create practical value for Research.

Role Description As a Senior Software Engineer I at Aledade, we maintain, improve, and expand our web application and data pipelines. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry. They embrace strategies that minimize risk, leaning towards observability, alerting, metrics, high test coverage, and frequent releases that incrementally build value. - Develop and implement scalable and performant solutions. - Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes. - Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work. Qualifications - BS/BTech (or higher) in Computer Science, Engineering or a related field. - 4+ years experience as an engineer building full-stack web applications as part of a cross-functional team. - 3+ years of experience working with SQL or other database querying language on large multi-table data sets. - 2+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value. - 2+ years of experience coaching other engineers. Requirements - Improve AI/ML infrastructure for model development, training, and deployment, with a focus on large language models and other generative AI architectures. - Design multi-year vision, shaping the direction of crucial generative AI areas - text generation, image synthesis, multimodal models, and personalized content creation. - Architect systems to enhance the capabilities and relevance of AI models, making complex data sets more accessible and actionable. - Design and implement prompt engineering strategies to effectively guide generative AI models. - Work closely with Product Management, Practices, Sales, Customer Success, and other stakeholders to identify and prioritize applied AI use cases within the organization. - Analyze product usage patterns and trends to make data-driven decisions and forecasts for generative AI applications. - Maintain the security of protected patient health information and ensure compliance with relevant regulations in the context of AI. - Contribute to the development of APIs and interfaces for integrating generative AI capabilities into existing healthcare systems and applications. Company Description We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.