Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500. Backed by Accel, Index and Y Combinator.
About the role
We’re looking for leading creators in their field who are interested in shaping AI and how it’s changing creative work. No AI experience needed. Your expertise in your craft matters most, and being connected to others in your field is a plus. This is a paid, part-time role with a flexible schedule. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Connect with other creators: Meet and learn from creatives and researchers across HFC and your industry
- Shape work in your domain: Share the taste, judgment, methods, and creative decisions behind your practice to help inform model development
- Create alongside the team: Collaborate on briefs and develop new work that helps explore what models can and cannot do in your field
- Partner with ML and research teams: Define what “good” looks like in your field, review model outputs, flag where AI falls short, and give feedback that shapes how models learn your craft
- Help peers understand the opportunity: Introduce other creators in your field to the program and share your experience contributing work
More about this role
The Human Frontier Collective (HFC)’s mission is to bring the world's best minds to shape the future of AI. As a Creative Advisor , you’ll bring your creative practice into direct collaboration with Scale’s research and ML teams. You’ll help them understand how work gets made in your field, develop new work together, and provide feedback on how AI models support—or fall short of—real creative processes.
- Connect with other creators: Meet and learn from creatives and researchers across HFC and your industry.
- Shape work in your domain: Share the taste, judgment, methods, and creative decisions behind your practice to help inform model development.
- Create alongside the team: Collaborate on briefs and develop new work that helps explore what models can and cannot do in your field.
- Partner with ML and research teams: Define what “good” looks like in your field, review model outputs, flag where AI falls short, and give feedback that shapes how models learn your craft.
- Help peers understand the opportunity: Introduce other creators in your field to the program and share your experience contributing work.
We’re looking for leading creators in their field who are interested in...
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