We Are: At Data Society Group, we provide the highest quality, leading-edge, industry-tailored data and AI training and solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforce with the skills they need to achieve their goals and expand their impact. Data Society Group publishes CDO Magazine, the preeminent global publication for Data Officers. Our executive boards include industry leaders, engineers, and data scientists from across the world. We are empowering the workforce of the future, from data literacy for all employees to support for data engineers and data scientists to train up on the most complex AI solutions and Machine Learning skills. About the Role: We are seeking an experienced AI Subject Matter Expert (SME) / Instructor to deliver engaging, hands-on virtual instruction in modern full-stack development and AI-assisted coding workflows. This role is ideal for practitioners who are actively building applications and are equally passionate about designing and developing high-quality technical training content. You will help shape both what is taught and how it is taught, creating impactful learning experiences that prepare professionals to work effectively with modern development stacks and AI-powered tools. As an independent contractor, you’ll enjoy the flexibility to teach subjects you’re passionate about while being supported by a collaborative and communicative team. Your role is not just to instruct, but to inspire—creating a positive and supportive learning environment where learners leave empowered and ready to act. Key Responsibilities: - Design, develop, and continuously improve course materials, including slide decks, labs, exercises, and assessments - Translate real-world development workflows into structured, learner-friendly content - Deliver high-quality, live instruction on full-stack JavaScript/TypeScript development and AI-assisted coding practices - Guide learners through hands-on exercises building real-world applications - Demonstrate best practices for integrating AI tools into the software development lifecycle - Collaborate with internal teams to refine curriculum based on learner feedback and evolving industry trends - Mentor learners and provide technical support throughout the training experience What You Bring: We are looking for a practitioner-educator who is as skilled at writing code as they are at facilitating impactful learning sessions. The ideal candidate possesses the following attributes: - The ability to convert complex, real-world technical workflows into educational content that is both structured and scalable. - A proactive commitment to staying updated on the latest advancements in AI development tools and industry methodologies. - A teaching style characterized by clarity, high energy, and the flexibility to thrive in live, interactive instructional settings. Minimum Qualifications: - Production-level experience building full-stack applications using: - JavaScript and TypeScript - Backend frameworks such as Node.js/Express or Next.js - Frontend frameworks such as React - Proven experience developing technical training content or curricula, including hands-on labs and project-based learning - Ability to break down complex technical concepts into clear, structured, and engaging instructional materials - Active, real-world use of AI coding assistants, such as GitHub Copilot or Cursor, within IDEs like VS Code - Experience incorporating AI tools into day-to-day development workflows (e.g., code generation, debugging, refactoring) - Working knowledge of prompt engineering techniques, including: - Chain-of-thought prompting - Few-shot prompting - Contract-first prompting - Hands-on experience configuring and working with MCP server connections in VS Code - Strong communication and facilitation skills Preferred Qualifications - Familiarity with Figma, including Dev Mode and component inspection - Experience delivering training to professional, enterprise, or government audiences - Background in instructional design, adult learning principles, or curriculum development frameworks

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), across our healthcare technology platforms. This role involves building and optimizing AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. mission Your role in our mission - AI Model Development – Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications. - End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact. - Data Engineering & Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. - System Integration – Implement and optimize AI models within Gainwell’s existing technology stack, collaborating with software engineers to ensure seamless integration. - Performance Optimization – Continuously monitor, refine, and optimize AI models for accuracy, efficiency, and speed, leveraging MLOps best practices. - AI Research & Innovation – Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness. - Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. - Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions. What we're looking for - Master’s or Ph.D in Computer Science, AI, Data Science, or a related field. - 5+ years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions. - Hands-on expertise in machine learning, deep learning, GenAI, NLP, and computer vision. - Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. - Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. - Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments. - Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases). - Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. - Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. role What you should expect in this role - Fully Remote Opportunity – Work from anywhere in the U.S. - Minimal Travel Required – Occasional travel opportunities (0-10%). - Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. - Video cameras must be used during all interviews, as well as during the initial week of orientation - The Deadline to submit applications for this posting is March 30, 2026 #LI-GD1 #LI-REMOTE The pay range for this position is $117,800.00 - $168,300.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines “wages” and “wage rates” to include “all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.

Machine Learning Product Summer Intern Overview Join Pacvue’s Data, ML and AI organization to help build intelligent systems that power automation, optimization, and insights across retail media and commerce. This role will contribute to applied machine learning and data initiatives that directly support product capabilities used by thousands of brands and agencies worldwide. Project Scope - Work with Pacvue’s Data, ML and AI team to support the development and experimentation of machine learning models that improve campaign optimization, forecasting, or decision automation. - Collaborate with data scientists, ML engineers, and product managers to explore large-scale retail media datasets and identify patterns that can inform product capabilities. - Assist in building or improving data pipelines, feature engineering processes, or model evaluation frameworks. - Participate in prototyping AI-enabled product features such as recommendations, automation workflows, or predictive insights. - Contribute to technical documentation and communicate findings with engineering and product stakeholders. Deliverables / Milestones - Develop and evaluate at least one machine learning model or analytical prototype using Pacvue datasets. - Produce exploratory data analysis and insights that support model development or product decisions. - Deliver a working prototype, experiment report, or pipeline improvement demonstrating measurable impact or learning. - Present project outcomes and recommendations to the Data, ML and AI team and relevant product stakeholders at the end of the internship. - Document code, methods, and results to enable future productionization or further experimentation. Learning Objectives - Gain hands-on experience applying machine learning techniques to large-scale real-world commerce and retail media datasets. - Learn how data, ML models, and AI capabilities are integrated into production SaaS platforms. - Develop practical skills in Python-based data analysis and machine learning tools such as Pandas, SQL, and ML frameworks. - Build experience collaborating in a cross-functional environment with engineering, data science, and product teams. - Improve the ability to translate technical analysis into insights that influence product and business decisions. Skills & Qualifications - Interest in machine learning, data, or AI-driven products - Familiarity with programming languages (e.g., Python preferred) - Basic data analysis skills (Excel, SQL, or similar tools) - Analytical and problem-solving mindset - Ability to communicate technical concepts clearly - Curious, proactive, and eager to learn Location/Time Zone Preference: United States - Central, Mountain, or Pacific Time Zones This is an hourly, remote summer internship for college students, offering up to 35 hours per week at a rate of $20 per hour. This role is available for our 9-week summer cohort running from May 18 – July 17. #LI-Remote Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Role Description Code for America is looking for a talented Principal AI Application Engineer who will bridge the gap between complex policy mandates and technical execution. By building modular, model-agnostic systems, you will prove that civic tech can respond to urgent legislative shifts faster and more responsibly than traditional monolithic "black boxes." About the role: - The mission of New Ventures within Code for America is to imagine and then build a future of radically improved public service delivery. - We are looking for two Principal AI Application Engineers to join a high-impact, lean team that is creating the tools, proof of concepts, and durable products that will define how the next generation of government services are delivered. - In this role, you will be architecting the connective tissue that allows government agencies to deploy responsible, portable, and effective AI. - This role will report to the VP of New Ventures team and is expected to travel no more than 10% of the time. - This is a remote position. In this position you will: - Build and ship high-impact experiments (e.g., digital lockers or AI-augmented procurement tools) to expand the "impact possibilities frontier." - Translate vague policy objectives into robust, working systems. - Identify when to use LLMs, agentic orchestration, or RAG patterns versus simple rules engines or traditional ML models. - Collaborate with policy and domain experts to co-design civic-sector benchmarks, translating complex regulatory requirements into automated evaluation pipelines that rigorously measure model performance. - Identify and define new opportunity spaces by translating emerging policy, technology, and user needs into actionable technical bets. - Architect foundational tools, including declarative task specifications and agentic data layers. - Design infrastructure that respects public sector constraints, focusing on portability and explainability. - Build data layers that interoperate with legacy systems (COBOL, SQL, etc.) to deliver modern value without multi-year migrations. - Establish Code for America as a leader in responsible AI through external thought leadership, including publications, talks, and open-source contributions. - Share demos and earned insights internally to help the organization iterate toward better standards and internal use cases of responsible AI. - Document architectural decisions, successes, and failures to create a blueprint for responsible AI in government. - Drive alignment across engineering, product, policy, and program teams to ensure solutions are technically sound, policy-compliant, and operationally viable. - Partner with and mentor fellow engineers through hands-on code reviews and technical guidance, ensuring the team stays grounded in best practices for responsible AI. - Maintain system health through rigorous, hands-on code reviews and the development of shared utilities. - Ensure craftsmanship and system explainability for the vulnerable populations we serve. Qualifications - 7+ years of experience in high-ownership environments (former technical founders encouraged); ability to take a vague objective to a finished system. - Hands-on experience building with LLMs, agentic orchestration, and RAG patterns, with the pragmatism to know when not to use them. - Ability to think in "primitives" and "capabilities," preferring modular, reusable frameworks over bespoke scripts. - Passion for bias detection, harm mitigations, and building systems that are explainable to the people they serve. - Mastery of Git, Linux, CI/CD, Infrastructure as Code (Terraform), and container-based workflows. - A critical eye toward the limitations of AI, especially "black box" logic in high-stakes public services. - Demonstrated ability to influence technical direction and drive alignment across teams without formal authority. Requirements - Ability to distill complex architecture into compelling prose for policy-makers or the public. - Prior work in Civic Tech, FinTech, or HealthTech where auditability is a core requirement. Benefits - Code for America’s salary bands are transparent as a part of our commitment to transparency and fairness. The offer targets for this role range from $143,884 to $176,138 annually. - Leadership and teammates who share a strong work ethic and values, and who respect and care for one another. - A collaborative, cross-functional, hardworking, and joyful environment. - Laptop provided. - A one-time $700 payment for remote environment setup; $200 stipend (in first paycheck) and up to $500 reimbursement, in accordance with our equipment policy. - Cell phone and/or internet reimbursement of $50 per month. - $500 annual (per calendar year) stipend towards professional development; prorated at time of hire. - Up to $500 of professional development funds can be rolled over each year, up to a maximum of $1000. - Training/guidance for staff required to utilize AI as part of their role, plus opportunities for employees to gain AI-related skills to support job and career growth. - Employees receive a 100% employer match on the first 3% of contributions to retirement plans. - At least one no-cost health insurance option for full-time employees for employee-only coverage. - A minimum of 80% of the cost of dependent coverage. - Open personal time off (subject to manager approval), a minimum of 14 paid holidays, and an org-wide closure from Christmas Day through New Year's Day. - Paid sick time; up to 96 hours annually. - 17 weeks of paid parental and family leave. - 3 weeks of paid sabbatical after 5 years of service.