Application Guide

How to Apply for GenAI Analyst/Prompt Engineer

at ActiveFence

🏢 About ActiveFence

ActiveFence provides specialized Trust & Safety tools for online platforms, focusing on content moderation and security. What makes them unique is their proactive approach to identifying emerging threats in digital spaces, particularly around generative AI safety. Someone might want to work there to be at the forefront of AI safety research while contributing to meaningful online protection.

About This Role

This GenAI Analyst/Prompt Engineer role involves writing adversarial prompts to test AI model vulnerabilities across LLMs, text-to-image, and text-to-video systems. You'll analyze content infringements in areas like hate speech, misinformation, and child safety, collaborating with cross-functional teams to develop safety strategies. The role is impactful because you'll directly contribute to securing generative AI tools against emerging abuse tactics.

💡 A Day in the Life

A typical day might involve writing and testing adversarial prompts against various AI models to identify vulnerabilities, then analyzing the results across different abuse categories. You'd collaborate with engineering teams to refine testing methodologies and with policy teams to document findings, while staying updated on emerging safety threats and regulatory changes affecting generative AI.

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Interview Prep

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🎯 Who ActiveFence Is Looking For

  • Has hands-on experience writing adversarial prompts for AI models (LLMs, text-to-image, etc.) with demonstrable examples
  • Possesses strong analytical skills for handling multilingual datasets across multiple abuse categories (hate speech, misinformation, IP/copyright, child safety)
  • Demonstrates knowledge of current AI safety bypass techniques and emerging regulatory landscapes
  • Can collaborate effectively with engineering, product, and policy teams to translate findings into actionable solutions

📝 Tips for Applying to ActiveFence

1

Include specific examples of adversarial prompts you've created in a portfolio or case study format

2

Highlight any experience with multilingual content analysis or dataset management for trust & safety applications

3

Demonstrate knowledge of ActiveFence's specific focus areas by mentioning their work in hate speech, misinformation, or child safety

4

Show how you stay current with AI regulations and safety-by-design strategies in your application materials

5

Emphasize your ability to work in hybrid/remote settings with cross-functional teams across different time zones

✉️ What to Emphasize in Your Cover Letter

['Your specific experience with adversarial prompt engineering and testing AI model vulnerabilities', "Examples of how you've analyzed content infringements across multiple abuse categories", 'Your approach to collaborating with diverse teams (engineering, product, policy) on safety solutions', 'How you stay updated on emerging AI safety threats and regulatory developments']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → ActiveFence's specific Trust & Safety tools and how they're applied to different platforms
  • → Recent blog posts or reports from ActiveFence about AI safety and content moderation
  • → The company's work in specific abuse categories mentioned (hate speech, misinformation, child safety, IP/copyright)
  • → ActiveFence's approach to hybrid/remote collaboration given their distributed team structure
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💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk me through your process for creating adversarial prompts to test a specific AI model vulnerability
2 How would you handle a dataset containing hate speech in multiple languages while ensuring analysis accuracy?
3 Describe a time you identified a new safety bypass technique in a generative AI model
4 How would you collaborate with policy teams to translate your technical findings into actionable safety measures?
5 What recent developments in AI regulation or safety-by-design strategies are most relevant to this role?
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⚠️ Common Mistakes to Avoid

  • Submitting generic applications without specific examples of adversarial prompt engineering
  • Focusing only on technical AI skills without demonstrating understanding of trust & safety contexts
  • Failing to show how you'd collaborate with non-technical teams (policy, product) on safety solutions

📅 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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