Application Guide

How to Apply for GenAI Analyst/Prompt Engineer

at ActiveFence

🏢 About ActiveFence

ActiveFence provides critical Trust & Safety tools for online platforms, specializing in content moderation and threat detection. What makes them unique is their focus on proactive safety solutions rather than reactive measures, working at the intersection of technology, policy, and ethics to protect digital spaces globally. Someone might want to work there to be at the forefront of AI safety and content integrity in a rapidly evolving field.

About This Role

This GenAI Analyst/Prompt Engineer role involves writing adversarial prompts to test vulnerabilities in various AI models (LLMs, Text-to-Image, Text-to-Video) and analyzing content infringements across areas like Hate Speech, Misinformation, and Child Safety. It's impactful because you'll directly contribute to making generative AI tools safer by identifying weaknesses before they can be exploited maliciously, working alongside engineering, product, and policy teams to develop forward-thinking safety strategies.

💡 A Day in the Life

A typical day might involve developing and testing adversarial prompts against various AI models to identify vulnerabilities, analyzing flagged content across different languages and abuse categories, and collaborating with engineering teams to refine safety measures. You'd also likely participate in cross-functional meetings to discuss findings and help develop strategies for addressing emerging threats to AI safety.

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Interview Prep

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🎯 Who ActiveFence Is Looking For

  • Has experience with prompt engineering techniques, particularly adversarial prompting to test model boundaries and safety measures
  • Possesses strong analytical skills with meticulous attention to detail when handling multilingual datasets across multiple abuse categories
  • Demonstrates knowledge of AI safety challenges, including current tactics for circumventing foundational models' safety measures
  • Can collaborate effectively with cross-functional teams (engineering, product, policy) to translate findings into actionable solutions

📝 Tips for Applying to ActiveFence

1

Include specific examples of adversarial prompts you've created to test AI models, particularly in sensitive areas like hate speech or misinformation

2

Highlight any experience with multilingual content analysis or working with datasets across different cultural contexts

3

Demonstrate understanding of ActiveFence's Trust & Safety focus by mentioning relevant industry challenges you're familiar with

4

Show how you stay current with AI regulations and safety-by-design strategies in your resume or portfolio

5

If you have experience with text-to-image or text-to-video models specifically, make this prominent in your application

✉️ What to Emphasize in Your Cover Letter

['Your specific experience with adversarial prompt engineering and testing AI model vulnerabilities', 'How you approach analyzing content across different abuse categories (Hate Speech, Misinformation, IP/Copyright, Child Safety)', 'Your ability to collaborate with diverse teams (engineering, product, policy) to develop safety solutions', "Why you're passionate about AI safety and Trust & Safety work specifically at ActiveFence"]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → ActiveFence's specific Trust & Safety products and how they're used by online platforms
  • → Recent AI safety incidents or vulnerabilities that would be relevant to their work
  • → Current global AI regulations and how they impact content moderation
  • → ActiveFence's company culture and values from their website and employee reviews
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💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk me through how you would create adversarial prompts to test a text-to-image model's safety filters
2 How do you stay current with emerging tactics for circumventing AI safety measures?
3 Describe your experience handling and analyzing multilingual datasets across different abuse categories
4 How would you collaborate with policy teams to translate your technical findings into actionable safety strategies?
5 What metrics would you use to measure the effectiveness of your adversarial testing approach?
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⚠️ Common Mistakes to Avoid

  • Focusing only on creative prompt engineering without demonstrating understanding of safety testing and adversarial approaches
  • Not showing awareness of the specific abuse categories mentioned (Hate Speech, Misinformation, IP/Copyright, Child Safety)
  • Presenting generic AI experience without tailoring it to Trust & Safety and content moderation contexts

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

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Good luck with your application to ActiveFence!

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