AI Red-Teamer

@ Crossing Hurdles

About AI Red-Teamer at Crossing Hurdles

Crossing Hurdles is a recruitment firm that refers top candidates to leading AI research labs. The AI Red-Teamer role involves adversarial testing and red-teaming of AI models.

Key Responsibilities

The main tasks include:

• Red-team AI models and agents with jailbreaks, prompt injections, misuse cases, and exploit scenarios.
• Generate high-quality human data by annotating AI failures and classifying vulnerabilities.
• Apply structured approaches using taxonomies, benchmarks, and playbooks for consistent testing.
• Document findings to produce reproducible reports, datasets, and attack cases.
• Support multiple projects such as LLM jailbreaks and socio-technical abuse testing.

Required Qualifications

The ideal candidate should have:

• Prior red-teaming experience in AI adversarial work, cybersecurity, or socio-technical probing, or a strong AI background for rapid learning.
• Expertise in adversarial machine learning (jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction).
• Cybersecurity skills including penetration testing, exploit development, and reverse engineering.
• Experience in socio-technical risk areas such as harassment, disinformation, or abuse analysis.
• Creative probing using psychology, acting, or writing to develop unconventional adversarial methods.

Application Process

The application process takes about 20 minutes and includes:

• Uploading your resume.
• An AI interview based on your resume (15 minutes).
• Submitting a form.

Key skills/competency

• Adversarial Testing
• AI Red-teaming
• Cybersecurity
• Penetration Testing
• Exploit Development
• Reverse Engineering
• Vulnerability Assessment
• Risk Analysis
• Creative Probing
• Data Annotation