Research Advisor - Human Frontier Collective (US)

Scale AI
United States / Remote (Growth only)2026-05-08

About the job

As an HFC Research Advisor, you’ll apply your academic and professional expertise to help develop strategy, design, evaluate, and interpret advanced generative AI systems – while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

Responsibilities

Senior Advisory & Model Governance: Provide elite-level consultancy and leadership on model behavior and domain-specific logic, establishing the benchmarks for professional integrity.

High-Impact Research Collaboration: Influence the technical roadmap by partnering across Scale AI's product, research, delivery, and GTM teams to design sophisticated, small-scale tasks that translate expert-level intuition into rigorous, computable frameworks for frontier model evaluation.

Executive Client Engagement: Represent Scale AI and the HFC as a Subject Matter Expert during pivotal sales cycles, executive meetings, and conferences,

Visionary Creation: Contribute to the creation of premier technical content and strategic GTM assets that ultimately helps position Scale as the definitive leader in the industry.

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).

HFC Community: Become a foundational member of HFC; a supportive, interdisciplinary network of innovators. Gain exclusive access to a community of industry leaders and AI researchers dedicated to advancing the frontier of data.

Qualifications

Minimum

5+ years of relevant industry experience with strong, top-tier domain knowledge. Proven track record of operating at the top of their field and applying deep expertise in high-impact, real-world environments across finance, legal, medical, or related fields.

Preferred

Demonstrated research experience, strong analytical and problem-solving skills, hands-on experience with AI tools and technologies, and a keen interest in interdisciplinary AI applications.