<h3>About the Collective</h3> <p>The <strong>Human Frontier Collective (HFC)</strong>’s mission is to bring the world's best minds to shape the future of AI – because the future of AI depends not only on powerful models, but on the people who teach them to think.<br>We bring together researchers, academics, and domain leaders across 70+ fields – over 90% of members hold doctorates – to shape how frontier AI systems are built, evaluated, and governed. HFC members have since co-authored published work including <em><a href="https://arxiv.org/pdf/2604.10718" target="_blank">SciPredict</a></em>, <a href="https://scale.com/research/propensitybench" target="_blank"><em>PropensityBench</em></a>, and <em><a href="https://scale.com/research/prbench" target="_blank">Professional Reasoning Benchmark</a>.</em></p> <p> </p> <h3>Why join the HFC</h3> <p>HFC centers on three core pillars: the network itself, participation in selected AI/ML projects, and opportunities to publish with our research team.</p> <ul> <li><strong>Join a unique and exclusive expert network: </strong>You’ll become a part of an interdisciplinary community, consisting of over 90% doctorates and field leaders representing 70+ fields from the leading institutions. We’re a collective of top innovators and thought leaders committed to advancing frontier AI to power the world’s most important decisions.</li> <li><strong>Participate in AI/ML projects:</strong> Beyond the collective network, you’ll be regularly invited to work on high-impact projects with Scale AI and its affiliated lab and platform: building AI safety and policy guardrails, helping models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and more.</li> <li><strong>Co-author selected research publications:</strong> Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition.</li> </ul> <p> </p> <h3>Who should apply</h3> <ul> <li><strong>Background</strong>: PhD, or postdoctoral research experience, in Machine Learning, Computer Science, or a related field; or senior industry experience in Machine Learning or a related field.</li> <li><strong>Skills</strong>: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow). Experience with cloud infrastructure (AWS) and MLOps tools (Docker) and LLM frameworks (LangChain) is a plus.</li> <li><strong>Professional</strong> <strong>Mindset</strong>: Detail-oriented, innovative thinker with a passion for applied AI research and a commitment to collaboration.</li> </ul> <p> </p> <h3>How it works</h3> <ul> <li><strong>Duration</strong>: This is a fully remote opportunity with no fixed end date; engagements continue as long as there's mutual interest. This is a 1099 independent contractor engagement.</li> <li><strong>Work authorization</strong>: We do not sponsor visas for Fellows. To participate in the HFC Fellows program, you need to have or independently obtain full-time work authorization in the country they reside in.</li> <li><strong>Community Network</strong>: Once you’ve received an invitation to join the HFC, you’ll also gain access to our newsletters, discussion channels, virtual sessions, IRL events, and much more.</li> <li><strong>Projects Logistics</strong>: </li> <ul> <li>Project selection: You’ll regularly get matched to carefully selected projects from our partners. Depending on the partner, projects range from evaluating AI models to designing experiments, building RL environments, co-authoring research papers, and more. </li> <li>Flexible schedule: There's no minimum commitment – you decide whether to take on a project. Most fellows spend 10–25 hours per week, on a schedule they set themselves.</li> <li>Competitive pay: Project pay rates vary across platforms and depend on a number of factors, including but not limited to: projects, scope, skillset, and location. You’ll receive the pay information upon receiving project matching notifications.</li> </ul> </ul> <p> </p> <h3>Application process</h3> <ol> <li><strong>Apply: </strong>We review applications on a rolling basis.</li> <li><strong>Interview:</strong> Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. <strong><em>Note: If we invited you directly, your invitation will say whether this step applies.</em></strong></li> <li><strong>Join the Collective:</strong> Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.</li> </ol> <p> </p> <p>------</p><div class="content-conclusion"><p><strong><em>PLEASE NOTE: </em></strong><em>Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</em></p> <p><strong>About Us:</strong></p> <p><em>At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality