Medical Fellow - Human Frontier Collective (US)
ScaleUnited StatesPosted 24 February 2026
Tech Stack
Job Description
<p data-start="78" data-end="300"><strong>PLEASE NOTE: </strong>This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role.</p>
<h3><strong>About the Program</strong></h3>
<p>The<strong> Human Frontier Collective (HFC) Fellowship</strong> brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.</p>
<h3><strong>What You'll Do</strong></h3>
<ul>
<li><strong>Collaborative Work: </strong>Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex clinical scenarios, evaluate model decision-making for safety and accuracy, and shape reasoning frameworks through structured, example-driven feedback.</li>
<li><strong>HFC Community:</strong> Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.</li>
<li><strong>Contribute to Research Publications:</strong> Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., <a href="https://scale.com/research/scipredict"><em>SciPredict</em></a>, <a href="https://scale.com/research/propensitybench"><em>PropensityBench</em></a>, <a href="https://scale.com/research/prbench"><em>Professional Reasoning Benchmark</em></a>).</li>
<li> </li>
</ul>
<h3><strong>Who Should Apply</strong></h3>
<ul>
<li><strong>Education: </strong>Medical degree required (MD, DO) with board certification; open to residents, practicing clinicians, or those with extensive clinical experience.</li>
<li><strong>Specialties: </strong>Internal medicine, emergency medicine, radiology, surgery, psychiatry, and related fields.</li>
<li><strong>Skills: </strong>Strong clinical reasoning and writing skills, with the ability to assess complex, nuanced, or edge-case scenarios.</li>
<li><strong>Professional Mindset:</strong> Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus.</li>
</ul>
<h3><strong>Why Join the HFC?</strong></h3>
<ul>
<li><strong>Advance Medical AI Solutions: </strong>Apply your clinical expertise to tackle complex, real-world healthcare challenges where your judgment shapes advanced AI reasoning and patient care decisions.</li>
<li><strong>Professional Development: </strong>High-impact medical experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, enhancing clinical reasoning skills, and gaining hands-on experience with cutting-edge healthcare AI technologies.</li>
<li><strong>Join a Top-Tier Network: </strong>Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.</li>
<li><strong>Flexible Schedule: </strong>Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.</li>
<li><strong>Competitive Pay: </strong>$80–$100/hr, depending on projects, skills assessment, and location.</li>
</ul>
<h3><strong>Application Process</strong></h3>
<ol>
<li><strong>Apply: </strong>We review applications on a rolling basis.</li>
<li><strong>Complete a Challenge: </strong>Selected candidates will undertake a brief task designed to reflect HFC work and evaluate their domain expertise.</li>
<li><strong>Interview:</strong> Can ... (truncated, view full listing at source)
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