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Generative AI Intern

Pronghorn

Salary not specified
Nov 12, 2025
Remote, US
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Pronghorn is looking to apply cutting-edge AI technology to solve tangible business challenges in real-time, specifically to improve marketing execution, advertising efficiency, and customer research efforts.

Requirements

  • Demonstrated hands-on experience with major Generative AI models (e.g., GPT-4, Gemini, Claude).
  • Direct experience building or customizing GPTs or similar LLM-based applications (personal projects or coursework welcome).
  • A strong, applied interest in prompt engineering and optimizing how humans interact with AI systems.
  • Familiarity with or a strong desire to learn about digital marketing, advertising principles, and customer research methodologies.

Responsibilities

  • Assist in the design, building, and deployment of Custom GPTs, leveraging internal data, brand guidelines, and specific requirements from our marketing and research teams.
  • Develop, test, and document highly effective prompts and repeatable workflows to maximize the accuracy and usability of the AI tools you build.
  • Continuously test the performance of deployed AI tools and gather user feedback to identify bugs and drive iterative improvements.
  • Work directly with the marketing team to apply AI tools to critical tasks, including drafting ad copy variations, brainstorming social media content ideas, and summarizing campaign reports.
  • Support research efforts by utilizing AI tools to analyze and quickly surface key themes and insights from large volumes of qualitative data (e.g., customer surveys, reviews, and market feedback).
  • Assist in conducting AI-powered competitor and market research to identify trends and inform strategic decisions.

Other

  • Currently pursuing or recently graduated with a degree in Computer Science, Data Science, Marketing, or a related technical field.
  • Highly curious, self-motivated, and an excellent problem-solver who enjoys technical challenges.
  • Ability to communicate complex technical concepts clearly to non-technical stakeholders.