Security Engineer - AI Coding Agent - AI Trainer

mercor; United States; Remote; USD 110,000 - 124,000; Full time

Job summary

Mercor, a San Francisco-based company connecting elite creative and technical talent with AI research labs, offers a remote contract Security Engineer (Coding Agent Experience) role. You will work with frontier AI coding agents to perform complex security tasks and review model-generated code for risks.

Ideal candidates have 2+ years of security engineering experience and familiarity with AI agents like Cursor, Claude Code, Codex, Windsurf, or Gemini CLI. Remote work allowed.

Qualifications

• 2+ years of professional security engineering experience.
• Experience in application, cloud, or infrastructure security.
• Familiar with AI coding agents and model evaluation.

Responsibilities

• Use frontier AI coding agents to complete and evaluate complex security engineering tasks.
• Review model-generated code and architectures for vulnerabilities and security risks.
• Identify bugs, edge cases, and security-related failure modes.
• Compare outputs from multiple frontier models to assess strengths and weaknesses.
• Apply professional engineering judgment to realistic security engineering scenarios.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Skills

Security engineering

Threat modeling

Code review

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

About the job

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: Security Engineer (Coding Agent Experience)

Type: Contract

Compensation: $85/hour

Location: Remote

Responsibilities

• Use frontier AI coding agents to complete and evaluate complex security engineering tasks .
• Review model-generated code and architectures for vulnerabilities and security risks.
• Identify bugs, edge cases, and security-related failure modes.
• Compare outputs from multiple frontier models to assess strengths and weaknesses.
• Apply professional engineering judgment to realistic security engineering scenarios .
• Work independently and asynchronously to meet deadlines while improving AI model performance .

Qualifications

• 2+ years of professional security engineering experience.
• Experience with application security , cloud security , infrastructure security , or vulnerability management .
• Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, or Gemini CLI.
• Ability to identify flaws in model-generated code and architectures.

Preferred

• Experience securing production systems.

Compensation & Legal

• $400 per accepted task .
• Compensation is tied to accepted work.