Generative AI Prompt Engineering Intern

Sorry, this job was removed at 04:20 p.m. (CST) on Monday, Jun 30, 2025
Marina del Rey, CA
Hybrid
Digital Media
Zefr is helping power the age of responsible marketing by enabling transparent, content-level targeting and measurement.
The Role
What we do: 

Zefr is the leader in AI-powered content classifications for brands and advertisers. Zefr’s platform is purpose built for multi-modal content understanding on open platforms like YouTube, TikTok, Meta and Snap, with pre-bid activation and verification solutions. Our products safeguard media and AI investments, while maximizing performance and efficacy on those channels.

Headquartered in Los Angeles with global offices across New York, Chicago, London, Toronto, Singapore, and more, Zefr is redefining what trust and transparency means for social media in the age of AI. 

We are seeking a highly motivated Generative AI Prompt Engineering Intern to join our team for Summer 2025. In this role, you will help enhance our content identification and categorization capabilities using state-of-the-art large language models (LLMs). This is an exciting opportunity to contribute to Zefr’s evolving AI strategy, work closely with product managers, engineers, and Go-To-Market team members, shaping how AI is used to understand and label content in a responsible and scalable way.

What you’ll do:
  • Design, test, and refine prompts for large language models (e.g., GPT-4, Gemini) to improve content classification accuracy across categories like theme and suitability

  • Collaborate with the Product and Engineering teams to develop robust prompt workflows and evaluation metrics.

  • Assist in fine-tuning model behaviors to better reflect Zefr’s taxonomy and content labeling standards

  • Partner with Zefr’s client facing teams to better understand customer perspectives on content decisioning, and ensure alignment within classification outputs.

  • Conduct research on emerging best practices in prompt engineering, model alignment, and responsible AI.

What we’re looking for:
  • Currently pursuing a degree (Bachelor’s or Master’s) in Computer Science, Data Science, Linguistics, Artificial Intelligence, or a related field.

  • Familiarity with LLMs, NLP concepts, and prompt engineering.

  • Experience with Python, and libraries like LangChain, OpenAI API, Hugging Face, or similar.

  • Strong analytical and problem-solving skills with a keen attention to detail.

  • Ability to clearly communicate technical findings to cross-functional stakeholders.

  • Interest in media, advertising, or content moderation is a plus.

What you’ll gain:
  • Hands-on experience working with production-level AI systems in the media and ad tech space.

  • Exposure to real-world applications of generative AI in content categorization and moderation.

  • Mentorship from industry experts in AI, product, and engineering.

  • A chance to contribute to Zefr’s mission of making the digital world more responsible and brand-safe.

Compensation (for US based employees):

The anticipated compensation for this position is between $20 and $25 per hour.  This internship will go from June to August, 2025.

Zefr is an equal opportunity employer that embraces diversity and inclusion in the workplace. We are committed to building a team that represents a variety of backgrounds, skills, and perspectives because we know this only makes us better.  We strongly encourage women, persons of color, LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications.

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The Company
HQ: Marina del Rey, CA
200 Employees
Year Founded: 2009

What We Do

Zefr is the leading data and technology company that enables responsible marketing for brands, agencies and platforms. The company leverages a patented AI and machine learning engine, called Cognition AI, to offer brands and agencies more accurate and transparent activation and measurement solutions on scaled video platforms.

Why Work With Us

As employees work to bring responsible marketing to the digital advertising ecosystem, we work to improve the lives of our employees both at work and at home. We are committed to building a team that represents a variety of different backgrounds, skills, and perspectives because we know this only makes us better.

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