Posted on 3/15/2025
Human Frontier Collective Fellow - GenAI
Scale AI
San Francisco, CA, United States
Qualifications
- Educational Background: Advanced graduate students, PhDs, postdocs, or professionals with domain knowledge in mathematics, engineering, computer science, cognitive sciences, or related STEM fields
- Technical Competence: Proven analytical skills, experience in creating challenging problem sets, and enthusiasm for applied AI research
- Professional Mindset: Collaborative, detail-oriented, self-motivated individuals interested in applied AI research
- Submit your CV along with relevant experience or research highlights
- Selected candidates will undergo an interview process assessing domain expertise and analytical capabilities
Benefits
- Direct Impact: Your expertise will directly influence the advancement of generative AI research
- Professional Development: Expand your research experience and contribute meaningfully to impactful projects
- Competitive Compensation: Earn attractive hourly compensation ($30/hour) aligned with your expertise
- Career Opportunities: Gain experience and build relationships that may lead to extended collaboration or future opportunities at Scale AI
Responsibilities
- Develop and Critique Complex Problem Sets: Craft challenging, domain-specific problems and datasets designed to rigorously test AI models, and provide expert evaluations to enhance model accuracy and robustness
- Model Response Evaluations: Review and critically assess AI model outputs, delivering insightful feedback that directly improves model performance
- Contribute to Research Publications: Opportunity to co-author technical reports and research papers, expanding your academic visibility and professional recognition
Full Description
About the Program
The Human Frontier Collective (HFC) at Scale AI engages talented researchers, analysts, PhDs, and postdocs to support advanced generative AI research. As an HFC Fellow, you'll be instrumental in driving AI advancements tailored to customer objectives by leveraging your domain knowledge to create and evaluate complex problem sets.
What You'll Do
• Develop and Critique Complex Problem Sets: Craft challenging, domain-specific problems and datasets designed to rigorously test AI models, and provide expert evaluations to enhance model accuracy and robustness.
• Model Response Evaluations: Review and critically assess AI model outputs, delivering insightful feedback that directly improves model performance.
• Contribute to Research Publications: Opportunity to co-author technical reports and research papers, expanding your academic visibility and professional recognition.
Who Should Apply
• Educational Background: Advanced graduate students, PhDs, postdocs, or professionals with domain knowledge in mathematics, engineering, computer science, cognitive sciences, or related STEM fields.
• Technical Competence: Proven analytical skills, experience in creating challenging problem sets, and enthusiasm for applied AI research.
• Professional Mindset: Collaborative, detail-oriented, self-motivated individuals interested in applied AI research.
Why Join the HFC?
• Direct Impact: Your expertise will directly influence the advancement of generative AI research.
• Professional Development: Expand your research experience and contribute meaningfully to impactful projects.
• Competitive Compensation: Earn attractive hourly compensation ($30/hour) aligned with your expertise.
• Career Opportunities: Gain experience and build relationships that may lead to extended collaboration or future opportunities at Scale AI.
How to Apply
Submit your CV along with relevant experience or research highlights. Selected candidates will undergo an interview process assessing domain expertise and analytical capabilities.
Advance the Frontiers of Generative AI
Join the Human Frontier Collective as an HFC Fellow and contribute your expertise to meaningful AI research and practical industry challenges.
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