Cyber Security Expert
@ Handshake

San Francisco, CA
$50,000
On Site
Part Time
Posted 1 day ago

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Email Hiring Manager

XXXXXXXXX XXXXXXXXXXX XXXXXXXX****** @handshake.com
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Job Details

Overview

Handshake is recruiting exceptional candidates with cyber security experience to join our AI research community. In this role as a Cyber Security Expert, you will contribute to the development and evaluation of Large Language Models (LLMs) across various domains through the Handshake AI Fellowship program.

Details

This is a remote and asynchronous position that allows you to work independently from anywhere with flexible hours. Commitment is approximately 10 to 20 hours per week. Responsibilities include:

  • Developing domain-specific prompts
  • Evaluating LLM responses
  • Researching topics of interest with AI assistance
  • Learning new skills while contributing to AI advancements

Project placement will depend on availability.

Qualifications

Candidates must have:

  • A background in cyber security
  • Red teaming experience
  • At least a bachelor's degree in fields such as Applied Math, Computer Science, Machine Learning, Information Technology & Systems, Statistics, or Data Science (Master's and Doctorates welcome)
  • The ability to work asynchronously with leading AI labs

Applicants must be U.S.-based doctoral students, candidates, or recent graduates with valid work or training authorization. Please ensure visa compliance before applying.

Key skills/competency

Cybersecurity, Red Teaming, AI, LLM, Research, Remote, Asynchronous, Prompt Development, Compliance, Independent

How to Get Hired at Handshake

🎯 Tips for Getting Hired

  • Customize your resume: Highlight cybersecurity and red teaming expertise.
  • Research Handshake: Understand their AI research and fellowship program.
  • Prepare examples: Showcase relevant project experiences in cybersecurity.
  • Practice interview skills: Emphasize asynchronous and remote work ability.

📝 Interview Preparation Advice

Technical Preparation

Review cybersecurity fundamentals and red teaming practices.
Practice domain-specific prompt creation techniques.
Study LLM outputs and evaluation methods.
Update technical skills in computer science and AI.

Behavioral Questions

Describe independent remote work experiences.
Explain handling asynchronous team communications.
Discuss managing flexible work hours effectively.
Share examples of proactive problem solving.

Frequently Asked Questions