Application Guide

How to Apply for AI / Emerging Technology Security Analyst

at Alignerr

🏢 About Alignerr

Alignerr is a platform that connects people to create high-quality data for frontier AI labs, putting you at the forefront of AI development. Working here means directly impacting the safety and robustness of cutting-edge models used by leading AI companies. The remote-first culture offers flexibility while tackling some of the most challenging problems in AI security.

About This Role

As an AI/Emerging Technology Security Analyst, you will systematically probe frontier AI models to uncover vulnerabilities and assess their resilience against adversarial attacks. Your work will directly inform mitigations for prompt injection, data leakage, and model abuse, making AI systems safer for real-world deployment. This role is critical in shaping the security posture of next-generation AI technologies.

💡 A Day in the Life

Your day might start by reviewing recent AI security research and prioritizing which frontier model to test next. You'll spend hours crafting adversarial prompts, running automated scans, and documenting vulnerabilities with reproducible steps. Afternoons involve collaborating with the team to discuss findings and recommending mitigations, followed by writing detailed reports for the AI labs.

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🎯 Who Alignerr Is Looking For

  • Hands-on experience red teaming LLMs or conducting adversarial testing on AI systems, with a portfolio of documented findings.
  • Deep understanding of attack techniques like prompt injection, jailbreaking, and data extraction, and knowledge of defensive measures such as input sanitization and alignment.
  • Ability to design structured test cases, execute them independently, and produce clear, actionable reports with technical reasoning.
  • Familiarity with security frameworks (e.g., OWASP Top 10 for LLMs) and best practices for securing AI pipelines.

📝 Tips for Applying to Alignerr

1

Tailor your resume to highlight specific AI red teaming projects, including the models tested, attack methods used, and vulnerabilities discovered.

2

Include a link to a portfolio or GitHub repo with examples of adversarial prompts, exploit scripts, or detailed security analyses you've performed.

3

In your cover letter, mention any experience with Alignerr's platform or similar data creation tools for AI labs.

4

Demonstrate your understanding of frontier AI labs (e.g., OpenAI, Anthropic, Google DeepMind) and how Alignerr's data impacts their model safety.

5

Show that you stay current with AI security research by referencing recent papers or incidents (e.g., ChatGPT data leaks, jailbreak trends).

✉️ What to Emphasize in Your Cover Letter

["Highlight your specific experience in AI red teaming and adversarial testing, with concrete examples of vulnerabilities you've found and mitigated.", 'Express enthusiasm for working on frontier AI models and contributing to their safety before public deployment.', 'Emphasize your ability to work independently and document findings clearly, as the role is remote and requires self-direction.', "Mention alignment with Alignerr's mission to create trusted data for AI labs and how your skills can directly improve model robustness."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Explore Alignerr's platform (alignerr.com) to understand how data is created, labeled, and used by AI labs.
  • → Read about recent AI security incidents, such as prompt injection in ChatGPT plugins or Bing Chat's jailbreak.
  • → Study the OWASP Top 10 for LLM Applications to understand industry-standard vulnerability categories.
  • → Look into the safety practices of frontier AI labs like OpenAI's Preparedness Framework or Anthropic's responsible scaling policy.
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💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Describe a time you successfully executed a prompt injection attack on an LLM. What was the vulnerability, and how would you fix it?
2 How would you design a test suite to evaluate an AI model's resistance to data leakage?
3 Explain the difference between adversarial attacks on traditional ML models vs. LLMs.
4 What are the key security considerations when building a platform like Alignerr that handles data for multiple AI labs?
5 How do you stay updated on emerging AI security threats, and how would you prioritize which vulnerabilities to investigate?
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⚠️ Common Mistakes to Avoid

  • Submitting a generic application without mentioning AI security or specific red teaming experience.
  • Failing to provide concrete examples of vulnerabilities found or attacks performed during previous roles.
  • Overlooking the importance of clear documentation and communication, which is critical for remote, independent work.

📅 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 Alignerr!

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