Freelance Clinicians

About League League is one of the fastest-growing technology companies in Canada and the leading healthcare experience platform. Getting healthcare is often the easy part — finishing it is where things fall apart: people book the appointment and skip the follow-up, fill the prescription and stop taking it, get the referral and never make the call. That gap costs health plans and health systems money, and it costs people their health. League closes that gap — identifying what each person needs to do next, clearing what’s in their way, and getting it done, for the 70 million+ people whose care already runs through our platform. Health plans and health systems trust us to do this at scale. Organizations like Manulife, SCAN, Geisinger, and Medibank on the payer side, and Baptist and Shoppers Drug Mart on the provider side. Position Summary: We're building a network of experienced clinicians and experts to support a range of digital health projects. The through-line is clinical and expert judgment: the situational, real-world reasoning that shapes the reasoning of League’s products being safe and trustworthy. We are building a pipeline of clinicians to be pulled from our roster into project-centric engagements. This is a great fit for clinicians who are looking for flexible, remote work — and who want their expertise to shape health-centric products that are built. The kind of work that you might do: Engagements vary, but could include: AI agent evaluation — supporting the development and validation of rubrics, reviewing AI-generated health responses against structured rubrics, flagging where guidance. oversteps scope or crosses into unsafe territory, providing written feedback on how agent responses can be improved for safety and utility. Subject-matter input — providing an expert perspective to the design of care pathways and other clinically-focused solutions that League is building. Clinical review — validating that League’s capabilities, programs, and content reflect current evidence and standards of care. Other projects as needed — from time to time, additional projects may come up that require subject-matter input and/or clinical review such as patient guides and other related medical information. Who we're looking for: Required Active clinical license in good standing (e.g., RN, NP, MD, PharmD, or other licensed health professional) Based in and licensed to practice in Canada or the United States Meaningful hands-on patient care or applied clinical experience Strong command of scope-of-practice boundaries Reliable, detail-oriented, and dependable on deadline-driven async work Ability to access and operate within Google Workspace Nice to have Prior experience with clinical validation of AI products, digital health experience development, clinical review of content, clinical governance experience Familiarity with healthcare performance quality frameworks (e.g., HEDIS, CMS quality measures) Genuine curiosity and interest about the role of AI in healthcare Engagement Details: Fully remote and async-friendly Project-based, with everything from short one-off engagements to recurring cycles — steady, ongoing work available for clinicians who are a strong fit Flexible hours that work around your clinical practice or other commitments Structured onboarding and calibration so expectations are clear from the start Please note: this is a contractor role that is engagement-centric. AI Fluency & Ways of Working At League, we are an AI-native organization . We expect all employees regardless of role or level to thoughtfully leverage AI to improve the quality, speed, and impact of their work. What this means in practice: Use AI tools as part of your daily workflow to enhance productivity, problem-solving, and decision-making (e.g., drafting, analysis, coding, research, or process automation) Apply judgment and accountability when using AI by reviewing outputs for accuracy, bias, and quality before use Continuously learn and adapt as new AI tools and capabilities emerge, incorporating them into your ways of working Identify opportunities to improve how work gets done from personal productivity to team-level workflows by leveraging AI effectively Operate with strong data responsibility and security awareness , especially when working with sensitive or regulated information How this scales by level: Individual Contributors: Use AI to improve personal productivity and quality of output Senior ICs / Managers: Integrate AI into team workflows and improve processes Leaders: Drive AI adoption at the organizational level and shape how work is done across teams What we look for: Demonstrated experience using AI tools in a practical, responsible way Curiosity and openness to experimenting with new technologies Ability to balance efficiency with quality and soun