Scale AI Logo

Scale AI

Human Frontier Collective Specialist - GenAI

Sorry, this job was removed at 04:02 a.m. (PST) on Thursday, Jul 17, 2025
Be an Early Applicant
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
In-Office
San Francisco, CA, USA

Similar Jobs

32 Seconds Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
100K-120K Annually
Senior level
100K-120K Annually
Senior level
Edtech • Kids + Family • Social Impact • Software
The Instructional Specialist, Multilingual Learning designs instructional frameworks, ensures content aligns with language standards, coaches internal teams, and leads research on multilingual education trends.
Top Skills: Digital Authoring ToolsGoogle Workspace
21 Minutes Ago
Remote or Hybrid
United States
99K-127K Annually
Senior level
99K-127K Annually
Senior level
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
The Sales Enablement GTM Readiness Lead drives product readiness and launch execution, ensuring sales teams are prepared with effective messaging, utilizing AI tools for enhanced efficiency, and partnering cross-functionally to optimize go-to-market strategies.
Top Skills: AICRMLms/CmsSalesforceSeismic
27 Minutes Ago
Easy Apply
Hybrid
Easy Apply
159K-182K Annually
Mid level
159K-182K Annually
Mid level
AdTech • Artificial Intelligence • Digital Media • Marketing Tech
Design, develop, and maintain features for high traffic web services using Java and Spring. Collaborate on architecture, optimize performance, and support junior engineers.
Top Skills: AerospikeAWSCi/CdGitGradleJavaKafkaMemcachedMySQLScylladbSpring
PLEASE NOTE: This is a fully remote, part-time opportunity open to U.S.-based applicants only.About the Program

The Human Frontier Collective (HFC) at Scale AI brings together PhDs, postdocs, and advanced researchers who are leaders in their fields. As an HFC Specialist, you'll directly apply your domain expertise to frontier AI research, closely collaborating with Scale researchers. You'll have exclusive access to cutting-edge generative AI models, playing an integral role in testing, critiquing, and shaping the future directions of AI research.

What You’ll Do
  • Develop and Critique Complex Problem Sets: Create challenging, domain-specific problems to rigorously test AI models, and provide expert evaluations to refine model performance.
  • Collaborative Research Sessions: Regularly meet with Scale researchers and interdisciplinary experts to discuss insights, model behaviors, and potential research directions.
  • Shape AI Research Directions: Work directly with Scale’s research team, helping to identify model limitations, analyze performance, and define future directions for AI capabilities.
  • Experimental and Interdisciplinary AI Projects: Engage in hands-on projects and interdisciplinary evaluations of AI models, uncovering insights across multiple domains to enhance model understanding and performance.
  • Publications and Thought Leadership: Contribute to and co-author research publications, technical reports, or public content such as webinars or panels, further highlighting your expertise.
  • Networking and Mentorship: Build professional connections through mentorship programs and exclusive events, connecting with leading AI researchers and industry professionals.
Who Should Apply
  • Educational Background: Currently pursuing or holding a PhD or postdoctoral position in computer science, mathematics, engineering, cognitive sciences, or related STEM fields.
  • Technical Expertise: Demonstrated research experience, analytical thinking, proficiency in problem formulation, and an interest in interdisciplinary AI applications.
  • Professional Mindset: Self-driven, intellectually curious, and excited to collaborate within an elite community of fellow researchers and AI professionals.
Why Join the HFC?
  • Direct Influence: Your contributions directly impact the trajectory of advanced AI capabilities and research.
  • Networking and Growth: Engage with an elite, interdisciplinary community, receive mentorship, and expand your professional network.
  • Recognition and Compensation: Earn highly competitive compensation ($100/hour) and additional performance-based rewards, acknowledging your valuable contributions.
  • Career Pathways: Outstanding specialists will have opportunities for continued collaboration, extended engagements, or future opportunities at Scale AI.
How to Apply

Submit your resume and relevant research highlights or publications. Selected candidates will undergo a screening process focusing on research depth and interdisciplinary aptitude.

Shape the Future of Generative AI
Join the Human Frontier Collective and play a critical role in advancing the frontiers of AI research. Engage in intellectually stimulating collaborations, impactful research, and innovative interdisciplinary initiatives at Scale AI.

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, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. 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 [email protected]. 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.

Scale AI San Francisco, California, USA Office

San Francisco, CA, United States, 94107

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account