STEM Fellow
Scale AI
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Job Description
About The Program
The Human Frontier Collective (HFC) Fellowship at Scale AI brings together top researchers and domain experts to collaborate on high-impact work that is shaping the future of AI. As an HFC STEM 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. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance.
- 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 AI’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: PhDs, postdoctoral researchers, and professors with domain expertise in STEM fields such as Computer Science, Machine Learning, Physics, Biology, Chemistry, Mathematics, Humanities, or other related disciplines.
- Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.
Why Join the HFC?
- Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.
- 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: $80–$100/hr, depending on the projects, skill assessment, 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.
About Us
At Scale AI, 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, Cisco, DLA Piper, 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.
Key skills/competency
- Generative AI
- AI Model Evaluation
- Research Collaboration
- Domain Expertise (STEM)
- Data Design
- Problem Solving
- Technical Reporting
- Interdisciplinary Research
- Machine Learning
- Scientific Analysis
How to Get Hired at Scale AI
- Research Scale AI's mission: Study their commitment to reliable AI and partnerships with industry leaders and government agencies.
- Tailor your resume: Highlight STEM expertise, applied AI research experience, and previous contributions to generative AI system design or evaluation.
- Showcase domain expertise: Emphasize your PhD, postdoctoral work, or professorship experience relevant to advanced AI model interpretation and dataset creation.
- Prepare for the challenge: Expect a specialized task designed to assess your specific domain knowledge and ability to tackle HFC-related work.
- Articulate passion for AI: During interviews, discuss your innovative thinking, commitment to collaboration, and enthusiasm for advancing human-centered AI.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background