Drimva

10a Labs

AI Red Teamer, Cyber

$100K–$120K

Washington DC +1 · Full-time · Posted Jun 1, 2026

Location
Washington DC
10a Labs
Experience
2–5 years of relevant professional experience.
Education
Degree in Computer Science, Engineering, Cyber Security, or a related field (or equivalent practical experience).

About the job

Conduct offensive security assessments of AI systems and supporting infrastructure, identify vulnerabilities and safety risks, and recommend improvements.

What you'll do

  • Design and execute red-team assessments and develop adversarial testing plans and methodologies.
  • Craft prompts, attack chains, and adversarial inputs; analyze behavior to identify vulnerabilities, risks, and failure modes.
  • Document findings, recommend actions, and collaborate with engineers and researchers to improve security.

What they ask for

  • Degree in Computer Science, Engineering, Cyber Security, or a related field, or equivalent practical experience.
  • Strong understanding of cybersecurity principles, attack methodologies, and common vulnerability classes.
  • Experience with security tools such as Splunk, Wireshark, Metasploit, Burp Suite, Nmap, or similar; familiarity with SIEM and security monitoring concepts.
  • Comfort with Linux and terminal environments, plus scripting or workflow automation using Python, Bash, or similar languages.

Nice to have

  • CompTIA Security+ and/or Google Cybersecurity Certificate; offensive security certifications such as PNPT, OSCP, CySA+, GCIH, or GPEN.
  • Experience testing AI, machine learning, or large language model applications; familiarity with prompt injection, jailbreaks, or other AI attack methodologies.

Pay

$100K–$120K (base salary)

Tools

Splunk, Wireshark, Metasploit, Burp Suite, Nmap, Linux, Python, Bash

AI focus

Red-team and evaluate the security, robustness, resilience, and safety of AI systems and applications using adversarial prompts, attack chains, and testing methodologies.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)