Human Frontier Collective Fellow - Finance
申请人必须获得在美国工作的授权,签证赞助商不允许参与该职位。关于计划的人际边境集体 (HFC) 奖学金汇聚顶尖研究人员和领域专家合作,共同制定 AI 未来的影响力高的工作。作为 HFC Fellow,你将用学术和专业知识来帮助设计,评估和解释先进的生成人工智能系统,同时接触到尖端研究并与领先思想家跨学科网络合作。你将做什么 ·协作工作:邀请你与我们的合作伙伴 AI 实验室和平台参与高影响性项目。开发和评估复杂的财务场景以测试和提高 AI 精确度在估值,预测和分析中;合作互动会议评估模型产品市场相关性和合规性;提供详细反以改善 AI 能力;参与金融建模,风险评估和股权研究的专业项目。· HFC 社区:除了工作之外,你将成为支持性,跨学科创新者和思想领导者的网络的一部分,致力于在各领域推进边界 AI. · 贡献研究出版物:与 Scale 的研究团队合作撰写技术报告和研究论文,以提高你的学术知名度和职业认可 (例如,SciPredict, PropensityBench,专业理性基准).谁应申请 · 学士学位:博士学位,CPA,BBA 财务,经济或相关学位。·证书:CFA 或强烈优先级。专业背景:经过5年以上的 FP&A,投资银行,组合管理,金融咨询或同等研究经验。·技能:在财务建模,估值方法,预测,资产定价,DCF 分析,市场分析和风险评估方面具有强大的熟练知识。·专业思维:对金融技术的热情和协作致力的细节导向创新思想家。人工智能方面的先前经验不必需,但是一项优势。为什么加入 HFC? ·先进金融人工智能解决方案:应用你的财务专业知识来解决复杂的现实挑战,你的判断塑造了先进的 AI 推理和决策 -
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PLEASE NOTE: 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.
About the Program
The Human Frontier Collective (HFC) Fellowship 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.
What You'll Do
- Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Develop and evaluate complex financial scenarios to test and enhance AI accuracy in valuation, forecasting, and analysis; collaborate in interactive sessions to assess model outputs for market relevance and compliance; provide detailed feedback to improve AI capabilities; and contribute to specialized projects in financial modeling, risk assessment, and equity research.
- HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
- Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).
Who Should Apply
- Education: PhD, Master, BBA in Finance, Economics, or related degrees.
- Certifications: CFA or CPA strongly preferred.
- Professional Background: 5+ years in FP&A, Investment Banking, Portfolio Management, Financial Consulting, or equivalent research experience.
- Skills: Strong proficiency in financial modeling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, and risk assessment.
- Professional Mindset: 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.
Why Join the HFC?
- Advance Finance AI Solutions: Apply your financial expertise to solve complex, real-world challenges where your judgment shapes advanced AI reasoning and decision-making.
- Professional Development: High-impact finance experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening analytical and financial skills, and gaining hands-on experience with cutting-edge AI applications.
- Join a Top-Tier Network: 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.
- Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
- Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.
Application Process
- Apply: We review applications on a rolling basis.
- Complete a Challenge: Selected candidates will undertake a brief task designed to reflect HFC work and evaluate their domain expertise.
- Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
- Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.
PLEASE NOTE: 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.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst& Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Originally posted on Himalayas