1 day ago

AI Security Engineer, Red-Teamer

Mercor

Hybrid
Part Time
$230,000
Hybrid

Job Overview

Job TitleAI Security Engineer, Red-Teamer
Job TypePart Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$230,000
LocationHybrid

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Job Description

About Mercor

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: AI Security Engineer, Red-Teamer

This role can be undertaken on a Full-time or Part-time basis, with compensation ranging from $50–$111 per hour. This is a Remote-friendly position, available to candidates within US time zones, and geographically restricted to the US, UK, and Canada.

Role Responsibilities

  • Red-team AI models and agents through jailbreaks, prompt injections, misuse cases, and exploits.
  • Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks.
  • Apply structure by following taxonomies, benchmarks, and playbooks to ensure consistent testing.
  • Document reproducibly to produce reports, datasets, and attack cases that customers can act on.
  • Flex across projects to support different customers, from LLM jailbreaks to socio-technical abuse testing.

Qualifications

Must-Have
  • Prior red-teaming experience in AI adversarial work, cybersecurity, or socio-technical probing.
  • Curiosity and adversarial instinct to push systems to breaking points.
  • Structured approach using frameworks or benchmarks.
  • Strong communication skills to explain risks to technical and non-technical stakeholders.
  • Adaptability to thrive across various projects and customers.
Preferred
  • Experience with Adversarial ML, including jailbreak datasets, prompt injection, RLHF/DPO attacks, and model extraction.
  • Cybersecurity skills in penetration testing, exploit development, and reverse engineering.
  • Understanding of socio-technical risk, including harassment/disinfo probing and abuse analysis.
  • Creative probing skills in psychology, acting, or writing for unconventional adversarial thinking.

Compensation & Legal

This is an hourly contractor position. Compensation varies by project, customer, and content category.

Application Process

The application process takes approximately 20–30 minutes to complete:

  • Upload your resume.
  • Complete an AI interview based on your resume.
  • Submit the form.

Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcomeFor any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Key skills/competency

  • AI Red-Teaming
  • Adversarial AI
  • Prompt Injection
  • Jailbreaking
  • Cybersecurity
  • Penetration Testing
  • Vulnerability Assessment
  • Socio-technical Risk
  • Exploit Development
  • Machine Learning Security

Tags:

AI Security Engineer
AI Red-Teamer
Red-teaming
AI models
Prompt injection
Jailbreaks
Vulnerability classification
Systemic risks
Documentation
Adversarial testing
Abuse analysis
Adversarial ML
Cybersecurity
Penetration testing
Exploit development
Reverse engineering
RLHF/DPO attacks
Model extraction
Socio-technical risk
LLM security

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How to Get Hired at Mercor

  • Research Mercor's mission: Study their focus on connecting elite talent with leading AI research labs and their investor portfolio.
  • Highlight AI red-teaming expertise: Emphasize prior experience in adversarial AI work, cybersecurity, or socio-technical probing in your resume.
  • Showcase structured problem-solving: Detail instances where you've used frameworks, benchmarks, or playbooks in testing and analysis.
  • Prepare for AI interview: Practice articulating your experience and thought process for AI security challenges, as an AI will conduct initial screening.
  • Demonstrate communication skills: Be ready to explain complex technical risks clearly to both technical and non-technical audiences.

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